Repository Summary
Checkout URI | https://github.com/MOLAorg/mola_lidar_odometry.git |
VCS Type | git |
VCS Version | develop |
Last Updated | 2024-10-07 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
mola_lidar_odometry | 0.3.3 |
README
mola_lidar_odometry
LIDAR odometry component based on the MOLA and MRPT frameworks, compatible with ROS 2.
Contents
This repository provides a C++ library mola_lidar_odometry
implementing LIDAR
odometry. Sensor input is provided via MOLA components, and ROS 2 example launch files are
provided in ros2-launchs.
A CLI interface mola-lidar-odometry-cli
is also provided for running on
offline datasets.
Build and install
Refer to: https://docs.mola-slam.org/latest/#installing
Documentation and tutorials
See: https://docs.mola-slam.org/
ROS build farm status
Distro | Develop branch | Releases | Stable release |
---|---|---|---|
ROS2 Humble (u22.04) | amd64 arm64 |
||
ROS2 Iron (u22.04) | amd64 arm64 |
||
ROS 2 Jazzy @ u24.04 | amd64 arm64 |
||
ROS 2 Rolling (u24.04) | amd64 arm64 |
Citation
José Luis Blanco-Claraco, A flexible framework for accurate LiDAR odometry, map manipulation, and localization,
ArXiV 2024.
https://arxiv.org/abs/2407.20465
License
Copyright (C) 2018-2024 Jose Luis Blanco jlblanco@ual.es, University of Almeria
This package is released under the GNU GPL v3 license as open source, with the main intention of being useful for research and evaluation purposes. Commercial licenses available upon request.
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/MOLAorg/mola_lidar_odometry.git |
VCS Type | git |
VCS Version | develop |
Last Updated | 2024-10-07 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
mola_lidar_odometry | 0.3.3 |
README
mola_lidar_odometry
LIDAR odometry component based on the MOLA and MRPT frameworks, compatible with ROS 2.
Contents
This repository provides a C++ library mola_lidar_odometry
implementing LIDAR
odometry. Sensor input is provided via MOLA components, and ROS 2 example launch files are
provided in ros2-launchs.
A CLI interface mola-lidar-odometry-cli
is also provided for running on
offline datasets.
Build and install
Refer to: https://docs.mola-slam.org/latest/#installing
Documentation and tutorials
See: https://docs.mola-slam.org/
ROS build farm status
Distro | Develop branch | Releases | Stable release |
---|---|---|---|
ROS2 Humble (u22.04) | amd64 arm64 |
||
ROS2 Iron (u22.04) | amd64 arm64 |
||
ROS 2 Jazzy @ u24.04 | amd64 arm64 |
||
ROS 2 Rolling (u24.04) | amd64 arm64 |
Citation
José Luis Blanco-Claraco, A flexible framework for accurate LiDAR odometry, map manipulation, and localization,
ArXiV 2024.
https://arxiv.org/abs/2407.20465
License
Copyright (C) 2018-2024 Jose Luis Blanco jlblanco@ual.es, University of Almeria
This package is released under the GNU GPL v3 license as open source, with the main intention of being useful for research and evaluation purposes. Commercial licenses available upon request.
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/MOLAorg/mola_lidar_odometry.git |
VCS Type | git |
VCS Version | develop |
Last Updated | 2024-10-07 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
mola_lidar_odometry | 0.3.3 |
README
mola_lidar_odometry
LIDAR odometry component based on the MOLA and MRPT frameworks, compatible with ROS 2.
Contents
This repository provides a C++ library mola_lidar_odometry
implementing LIDAR
odometry. Sensor input is provided via MOLA components, and ROS 2 example launch files are
provided in ros2-launchs.
A CLI interface mola-lidar-odometry-cli
is also provided for running on
offline datasets.
Build and install
Refer to: https://docs.mola-slam.org/latest/#installing
Documentation and tutorials
See: https://docs.mola-slam.org/
ROS build farm status
Distro | Develop branch | Releases | Stable release |
---|---|---|---|
ROS2 Humble (u22.04) | amd64 arm64 |
||
ROS2 Iron (u22.04) | amd64 arm64 |
||
ROS 2 Jazzy @ u24.04 | amd64 arm64 |
||
ROS 2 Rolling (u24.04) | amd64 arm64 |
Citation
José Luis Blanco-Claraco, A flexible framework for accurate LiDAR odometry, map manipulation, and localization,
ArXiV 2024.
https://arxiv.org/abs/2407.20465
License
Copyright (C) 2018-2024 Jose Luis Blanco jlblanco@ual.es, University of Almeria
This package is released under the GNU GPL v3 license as open source, with the main intention of being useful for research and evaluation purposes. Commercial licenses available upon request.
CONTRIBUTING
Repository Summary
Checkout URI | https://github.com/MOLAorg/mola_lidar_odometry.git |
VCS Type | git |
VCS Version | develop |
Last Updated | 2024-10-07 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
mola_lidar_odometry | 0.3.3 |
README
mola_lidar_odometry
LIDAR odometry component based on the MOLA and MRPT frameworks, compatible with ROS 2.
Contents
This repository provides a C++ library mola_lidar_odometry
implementing LIDAR
odometry. Sensor input is provided via MOLA components, and ROS 2 example launch files are
provided in ros2-launchs.
A CLI interface mola-lidar-odometry-cli
is also provided for running on
offline datasets.
Build and install
Refer to: https://docs.mola-slam.org/latest/#installing
Documentation and tutorials
See: https://docs.mola-slam.org/
ROS build farm status
Distro | Develop branch | Releases | Stable release |
---|---|---|---|
ROS2 Humble (u22.04) | amd64 arm64 |
||
ROS2 Iron (u22.04) | amd64 arm64 |
||
ROS 2 Jazzy @ u24.04 | amd64 arm64 |
||
ROS 2 Rolling (u24.04) | amd64 arm64 |
Citation
José Luis Blanco-Claraco, A flexible framework for accurate LiDAR odometry, map manipulation, and localization,
ArXiV 2024.
https://arxiv.org/abs/2407.20465
License
Copyright (C) 2018-2024 Jose Luis Blanco jlblanco@ual.es, University of Almeria
This package is released under the GNU GPL v3 license as open source, with the main intention of being useful for research and evaluation purposes. Commercial licenses available upon request.