Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]
Messages
Services
Plugins
Recent questions tagged autoware_downsample_filters at Robotics Stack Exchange
Package Summary
Tags | No category tags. |
Version | 0.0.0 |
License | Apache License 2.0 |
Build type | AMENT_CMAKE |
Use | RECOMMENDED |
Repository Summary
Checkout URI | https://github.com/autowarefoundation/autoware_core.git |
VCS Type | git |
VCS Version | main |
Last Updated | 2025-06-12 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Package Description
Additional Links
Maintainers
- amc-nu
- Yukihiro Saito
- Kyoichi Sugahara
- Dai Nguyen
- Kenzo Lobos-Tsunekawa
- Yihsiang Fang
- Yoshi Ri
- David Wong
- Melike Tanrikulu
- Max Schmeller
- Xingang Liu
- Norah Xiong
Authors
autoware_downsample_filters
Overview
The autoware_downsample_filters
is a package that that reduces the number of points of the pointcloud.
Design
The autoware_downsample_filters
is implemented for reducing the computational load and improving the performance of the system.
Inner-workings / Algorithms
Random Downsample Filter
pcl::RandomSample
is used, which points are sampled with uniform probability.
Voxel Grid Downsample Filter
pcl::VoxelGrid
is used, which points in each voxel are approximated with their centroid.
Pickup Based Voxel Grid Downsample Filter
This algorithm samples a single actual point existing within the voxel, not the centroid. The computation cost is low compared to Centroid Based Voxel Grid Filter.
Inputs / Outputs
Input
Name | Type | Description |
---|---|---|
input |
sensor_msgs::msg::PointCloud2 |
reference points |
Output
Name | Type | Description |
---|---|---|
output |
sensor_msgs::msg::PointCloud2 |
downsampled points |
Parameters
Launch file Parameters
Name | Type | Default Value | Description |
---|---|---|---|
input_frame |
string | ” “ | the frame id in which filtering is performed |
output_frame |
string | ” “ | output frame id of the filtered points |
max_queue_size |
size_t | 5 | max buffer size of input/output topics |
Node Parameters
random_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
sample_num |
size_t | 1500 | random sample number |
voxel_grid_downsample_filter_node
Name | Type | Default Value | Description |
---|---|---|---|
voxel_size_x |
double | 0.3 | x value of the voxel |
voxel_size_y |
double | 0.3 | y value of the voxel |
voxel_size_z |
double | 0.1 | z value of the voxel |
Usage
1.publish static tf from input pointcloud to target frame that is used for filtering, e.g
ros2 run tf2_ros static_transform_publisher 2.0 3.2 1.3 0 0 0 1 velodyne_top_base_link base_link
2.launch one of the downsample node
ros2 launch autoware_downsample_filters random_downsample_filter_node.launch.xml
3. launch rviz2 and AWSIM to check the downsample result
Assumptions / Known limits
(Optional) Error detection and handling
(Optional) Performance characterization
(Optional) References/External links
(Optional) Future extensions / Unimplemented parts
Wiki Tutorials
Package Dependencies
Deps | Name |
---|---|
ament_cmake_auto | |
autoware_cmake | |
ament_lint_auto | |
autoware_lint_common | |
autoware_point_types | |
autoware_utils_debug | |
autoware_utils_system | |
autoware_utils_tf | |
pcl_conversions | |
rclcpp | |
sensor_msgs |
System Dependencies
Dependant Packages
Launch files
- launch/random_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw]
- output_topic_name [default: /sensing/lidar/top/random_downsample_filter/pointcloud]
- input_frame [default: ]
- output_frame [default: ]
- random_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/random_downsample_filter_node.param.yaml]
- launch/voxel_grid_downsample_filter_node.launch.xml
-
- input_topic_name [default: /sensing/lidar/top/pointcloud_raw_ex]
- output_topic_name [default: /sensing/lidar/top/voxel_grid_downsample_filter/pointcloud]
- input_frame [default: base_link]
- output_frame [default: base_link]
- voxel_grid_downsample_filter_param_file [default: $(find-pkg-share autoware_downsample_filters)/config/voxel_grid_downsample_filter_node.param.yaml]