Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

basler_tof

Repository Summary

Checkout URI https://github.com/uos/basler_tof.git
VCS Type git
VCS Version lunar
Last Updated 2019-03-05
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)

Packages

Name Version
basler_tof 0.0.0

README

Basler ToF camera ROS driver

This is a ROS driver for the Basler ToF ES (Engineering Sample) 3D camera:

Basler ToF ES

Installation

  • Get the file basler-tof-driver-1.4.1.1450-x86_64.tar.gz (available from baslerweb.com) and unpack it. (This driver has been tested with versions 1.0.6, 1.1.0, 1.2.1, 1.3.1 and 1.3.2 of basler-tof-driver, but should work with any version >= 1.0.6 . Version 1.2.1 or later is recommended due to the improvements in the postprocessing filters.
  • When you upgrade from one BaslerToF library version to another, make sure to remove your build directory and rebuild. For some reason, cmake does not properly detect that the node has to be rebuilt.
  • Move the directory BaslerToF from that archive to /opt/BaslerToF.
  • Do not put this directory on your LD_LIBRARY_PATH; it contains custom versions of Qt and other libraries that interfere with the system libraries.
  • Clone this repo into your Catkin workspace and install as usual. If unsure, refer to the commands in the .travis.yml file.

Running

roslaunch basler_tof basler_tof.launch

ROS API (basler_tof_node)

Published Topics

confidence/image_raw

confidence/image_raw (sensor_msgs/Image)

  • The confidence image (each pixel represents the confidence in the depth value). This is the same as the intensity image, but with too bright / dark pixels beyond a certain threshold replaced by NaN values.

confidence/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

depth/image_raw

depth/image_raw (sensor_msgs/Image)

  • The depth image.

depth/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

intensity/image_raw

intensity/image_raw (sensor_msgs/Image)

  • The intensity image.

intensity/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

points

points (sensor_msgs/PointCloud2)

  • Point cloud, directly from the device driver. Has intensities, but cannot be user-calibrated.

depth/points (sensor_msgs/PointCloud2)

  • Point cloud computed from the depth/image_raw and depth/camera_info topic. No intensities, but takes into account user calibration. This topic is not directly published by the node, but by the depth_image_proc/point_cloud_xyz nodelet in the launch file.

There are also several rectified topics published via image_proc in the launch file, for example intensity/image_rect:

intensity/image_rect

Parameters

File truncated at 100 lines see the full file

Repo symbol

basler_tof repository

basler_tof

Repository Summary

Checkout URI https://github.com/uos/basler_tof.git
VCS Type git
VCS Version jade
Last Updated 2018-01-31
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)

Packages

Name Version
basler_tof 0.0.0

README

Basler ToF camera ROS driver

This is a ROS driver for the Basler ToF ES (Engineering Sample) 3D camera:

Basler ToF ES

Installation

  • Get the file basler-tof-driver-1.3.2-x86_64.tar.gz (available from baslerweb.com) and unpack it. (This driver has been tested with versions 1.0.6, 1.1.0, 1.2.1, 1.3.1 and 1.3.2 of basler-tof-driver, but should work with any version >= 1.0.6 . Version 1.2.1 or later is recommended due to the improvements in the postprocessing filters.
  • When you upgrade from one BaslerToF library version to another, make sure to remove your build directory and rebuild. For some reason, cmake does not properly detect that the node has to be rebuilt.
  • Move the directory BaslerToF from that archive to /opt/BaslerToF.
  • Do not put this directory on your LD_LIBRARY_PATH; it contains custom versions of Qt and other libraries that interfere with the system libraries.
  • Clone this repo into your Catkin workspace and install as usual. If unsure, refer to the commands in the .travis.yml file.

Running

roslaunch basler_tof basler_tof.launch

ROS API (basler_tof_node)

Published Topics

confidence/image_raw

confidence/image_raw (sensor_msgs/Image)

  • The confidence image (each pixel represents the confidence in the depth value). This is the same as the intensity image, but with too bright / dark pixels beyond a certain threshold replaced by NaN values.

confidence/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

depth/image_raw

depth/image_raw (sensor_msgs/Image)

  • The depth image.

depth/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

intensity/image_raw

intensity/image_raw (sensor_msgs/Image)

  • The intensity image.

intensity/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

points

points (sensor_msgs/PointCloud2)

  • Point cloud, directly from the device driver. Has intensities, but cannot be user-calibrated.

depth/points (sensor_msgs/PointCloud2)

  • Point cloud computed from the depth/image_raw and depth/camera_info topic. No intensities, but takes into account user calibration. This topic is not directly published by the node, but by the depth_image_proc/point_cloud_xyz nodelet in the launch file.

There are also several rectified topics published via image_proc in the launch file, for example intensity/image_rect:

intensity/image_rect

Parameters

File truncated at 100 lines see the full file

Repo symbol

basler_tof repository

basler_tof

Repository Summary

Checkout URI https://github.com/uos/basler_tof.git
VCS Type git
VCS Version indigo
Last Updated 2019-03-05
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)

Packages

Name Version
basler_tof 0.0.0

README

Basler ToF camera ROS driver

This is a ROS driver for the Basler ToF ES (Engineering Sample) 3D camera:

Basler ToF ES

Installation

  • Get the file basler-tof-driver-1.4.1.1450-x86_64.tar.gz (available from baslerweb.com) and unpack it. (This driver has been tested with versions 1.0.6, 1.1.0, 1.2.1, 1.3.1 and 1.3.2 of basler-tof-driver, but should work with any version >= 1.0.6 . Version 1.2.1 or later is recommended due to the improvements in the postprocessing filters.
  • When you upgrade from one BaslerToF library version to another, make sure to remove your build directory and rebuild. For some reason, cmake does not properly detect that the node has to be rebuilt.
  • Move the directory BaslerToF from that archive to /opt/BaslerToF.
  • Do not put this directory on your LD_LIBRARY_PATH; it contains custom versions of Qt and other libraries that interfere with the system libraries.
  • Clone this repo into your Catkin workspace and install as usual. If unsure, refer to the commands in the .travis.yml file.

Running

roslaunch basler_tof basler_tof.launch

ROS API (basler_tof_node)

Published Topics

confidence/image_raw

confidence/image_raw (sensor_msgs/Image)

  • The confidence image (each pixel represents the confidence in the depth value). This is the same as the intensity image, but with too bright / dark pixels beyond a certain threshold replaced by NaN values.

confidence/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

depth/image_raw

depth/image_raw (sensor_msgs/Image)

  • The depth image.

depth/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

intensity/image_raw

intensity/image_raw (sensor_msgs/Image)

  • The intensity image.

intensity/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

points

points (sensor_msgs/PointCloud2)

  • Point cloud, directly from the device driver. Has intensities, but cannot be user-calibrated.

depth/points (sensor_msgs/PointCloud2)

  • Point cloud computed from the depth/image_raw and depth/camera_info topic. No intensities, but takes into account user calibration. This topic is not directly published by the node, but by the depth_image_proc/point_cloud_xyz nodelet in the launch file.

There are also several rectified topics published via image_proc in the launch file, for example intensity/image_rect:

intensity/image_rect

Parameters

File truncated at 100 lines see the full file

Repo symbol

basler_tof repository

Repo symbol

basler_tof repository

basler_tof

Repository Summary

Checkout URI https://github.com/uos/basler_tof.git
VCS Type git
VCS Version kinetic
Last Updated 2020-11-16
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)

Packages

Name Version
basler_tof 0.0.0

README

Basler ToF camera ROS driver

This is a ROS driver for the Basler ToF ES (Engineering Sample) 3D camera:

Basler ToF ES

Linux Installation

  • Get the file basler-tof-driver-1.4.1.1450-x86_64.tar.gz (available from baslerweb.com) and unpack it. (This driver has been tested with versions 1.0.6, 1.1.0, 1.2.1, 1.3.1 and 1.3.2 of basler-tof-driver, but should work with any version >= 1.0.6 . Version 1.2.1 or later is recommended due to the improvements in the postprocessing filters.
  • When you upgrade from one BaslerToF library version to another, make sure to remove your build directory and rebuild. For some reason, cmake does not properly detect that the node has to be rebuilt.
  • Move the directory BaslerToF from that archive to /opt/BaslerToF.
  • Do not put this directory on your LD_LIBRARY_PATH; it contains custom versions of Qt and other libraries that interfere with the system libraries.
  • Clone this repo into your Catkin workspace and install as usual. If unsure, refer to the commands in the .travis.yml file.

Windows Installation

  • Install the Basler ToF Windows driver from baslerweb.com
  • Create a folder to be your catkin workspace
  • Create a src subdirectory, and clone this repository to basler_tof under that src directory
  • Invoke catkin_make from your catkin workspace, and then source the new package into ROS
   c:\ws>catkin_make
   c:\ws>.\devel\setup.bat
   

Running

Linux:

roslaunch basler_tof basler_tof.launch

Windows:

roslaunch basler_tof basler_tof_win.launch

ROS API (basler_tof_node)

Published Topics

confidence/image_raw

confidence/image_raw (sensor_msgs/Image)

  • The confidence image (each pixel represents the confidence in the depth value). This is the same as the intensity image, but with too bright / dark pixels beyond a certain threshold replaced by NaN values.

confidence/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

depth/image_raw

depth/image_raw (sensor_msgs/Image)

  • The depth image.

depth/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

intensity/image_raw

intensity/image_raw (sensor_msgs/Image)

  • The intensity image.

intensity/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

points

points (sensor_msgs/PointCloud2)

  • Point cloud, directly from the device driver. Has intensities, but cannot be user-calibrated.

File truncated at 100 lines see the full file

Repo symbol

basler_tof repository

basler_tof

Repository Summary

Checkout URI https://github.com/uos/basler_tof.git
VCS Type git
VCS Version melodic
Last Updated 2020-11-16
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)

Packages

Name Version
basler_tof 0.0.0

README

Basler ToF camera ROS driver

This is a ROS driver for the Basler ToF ES (Engineering Sample) 3D camera:

Basler ToF ES

Linux Installation

  • Get the file basler-tof-driver-1.4.1.1450-x86_64.tar.gz (available from baslerweb.com) and unpack it. (This driver has been tested with versions 1.0.6, 1.1.0, 1.2.1, 1.3.1 and 1.3.2 of basler-tof-driver, but should work with any version >= 1.0.6 . Version 1.2.1 or later is recommended due to the improvements in the postprocessing filters.
  • When you upgrade from one BaslerToF library version to another, make sure to remove your build directory and rebuild. For some reason, cmake does not properly detect that the node has to be rebuilt.
  • Move the directory BaslerToF from that archive to /opt/BaslerToF.
  • Do not put this directory on your LD_LIBRARY_PATH; it contains custom versions of Qt and other libraries that interfere with the system libraries.
  • Clone this repo into your Catkin workspace and install as usual. If unsure, refer to the commands in the .travis.yml file.

Windows Installation

  • Install the Basler ToF Windows driver from baslerweb.com
  • Create a folder to be your catkin workspace
  • Create a src subdirectory, and clone this repository to basler_tof under that src directory
  • Invoke catkin_make from your catkin workspace, and then source the new package into ROS
   c:\ws>catkin_make
   c:\ws>.\devel\setup.bat
   

Running

Linux:

roslaunch basler_tof basler_tof.launch

Windows:

roslaunch basler_tof basler_tof_win.launch

ROS API (basler_tof_node)

Published Topics

confidence/image_raw

confidence/image_raw (sensor_msgs/Image)

  • The confidence image (each pixel represents the confidence in the depth value). This is the same as the intensity image, but with too bright / dark pixels beyond a certain threshold replaced by NaN values.

confidence/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

depth/image_raw

depth/image_raw (sensor_msgs/Image)

  • The depth image.

depth/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

intensity/image_raw

intensity/image_raw (sensor_msgs/Image)

  • The intensity image.

intensity/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

points

points (sensor_msgs/PointCloud2)

  • Point cloud, directly from the device driver. Has intensities, but cannot be user-calibrated.

File truncated at 100 lines see the full file

Repo symbol

basler_tof repository

basler_tof

Repository Summary

Checkout URI https://github.com/uos/basler_tof.git
VCS Type git
VCS Version noetic
Last Updated 2020-11-16
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)

Packages

Name Version
basler_tof 0.0.0

README

Basler ToF camera ROS driver

This is a ROS driver for the Basler ToF ES (Engineering Sample) 3D camera:

Basler ToF ES

Linux Installation

  • Get the file basler-tof-driver-1.4.1.1450-x86_64.tar.gz (available from baslerweb.com) and unpack it. (This driver has been tested with versions 1.0.6, 1.1.0, 1.2.1, 1.3.1 and 1.3.2 of basler-tof-driver, but should work with any version >= 1.0.6 . Version 1.2.1 or later is recommended due to the improvements in the postprocessing filters.
  • When you upgrade from one BaslerToF library version to another, make sure to remove your build directory and rebuild. For some reason, cmake does not properly detect that the node has to be rebuilt.
  • Move the directory BaslerToF from that archive to /opt/BaslerToF.
  • Do not put this directory on your LD_LIBRARY_PATH; it contains custom versions of Qt and other libraries that interfere with the system libraries.
  • Clone this repo into your Catkin workspace and install as usual. If unsure, refer to the commands in the .travis.yml file.

Windows Installation

  • Install the Basler ToF Windows driver from baslerweb.com
  • Create a folder to be your catkin workspace
  • Create a src subdirectory, and clone this repository to basler_tof under that src directory
  • Invoke catkin_make from your catkin workspace, and then source the new package into ROS
   c:\ws>catkin_make
   c:\ws>.\devel\setup.bat
   

Running

Linux:

roslaunch basler_tof basler_tof.launch

Windows:

roslaunch basler_tof basler_tof_win.launch

ROS API (basler_tof_node)

Published Topics

confidence/image_raw

confidence/image_raw (sensor_msgs/Image)

  • The confidence image (each pixel represents the confidence in the depth value). This is the same as the intensity image, but with too bright / dark pixels beyond a certain threshold replaced by NaN values.

confidence/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

depth/image_raw

depth/image_raw (sensor_msgs/Image)

  • The depth image.

depth/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

intensity/image_raw

intensity/image_raw (sensor_msgs/Image)

  • The intensity image.

intensity/camera_info (sensor_msgs/CameraInfo)

  • The corresponding camera info (calibration values).

points

points (sensor_msgs/PointCloud2)

  • Point cloud, directly from the device driver. Has intensities, but cannot be user-calibrated.

File truncated at 100 lines see the full file