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An actively maintained universal calibration toolbox for assisted, target-based multi-sensor calibration with ROS 1 and ROS 2 support. It provides a variety of methods and applications to calibrate complex multi-sensor systems, e.g.

  • Extrinsic Camera-LiDAR Calibration,
  • Extrinsic Camera-Reference Calibration,
  • Extrinsic LiDAR-LiDAR Calibration,
  • Extrinsic LiDAR-Reference Calibration, and
  • Extrinsic LiDAR-Vehicle Calibration (prototype).

The software is licensed under the new BSD 3-Clause license. If you use this project for your research, please cite:

@inproceedings{
    ruf2025_multisensor_calibration,
    title={Multi-Sensor Calibration Toolbox for Large-Scale Offroad Robotics},
    author={Boitumelo Ruf and Miguel Granero and Raphael Hagmanns and Janko Petereit},
    conference={German Robotics Conference (RIG) 2025},
    year={2025},
} 

The multisensor_calibration can be installed with apt:

sudo apt install ros-$ROS_DISTRO-multisensor-calibration

Or manually. If you want to compile and use locally, see Getting Started.

Since ROS 1 is soon end-of-life, there will be no official release for ROS 1. However, there is a version of the source code available for ROS 1 under the branch noetic.

Acknowledgement: This software was developed as part of the projects AKIT-PRO (grant no. 13N15673) and ROBDEKON – Robotic Systems for Decontamination in Hazardous Environments (grant nos. 13N14674 and 13N16538), funded by the Federal Ministry of Education and Research (BMBF) under the German Federal Government’s Research for Civil Security program.


Continuous Integration:

Service devel main
GitHub deploy
Jazzy Jalisco Jazzy Jalisco

Getting Started

If you have already installed the package with apt, this section can be skipped.

Requirements

Basic requirements can be installed by calling following command from the top of the ROS workspace:

rosdep install -y -r --from-paths src --ignore-src

Further requirements:

  • PCL
  • OpenCV
  • Qt
  • small_gicp: TThe package small_gicp_vendor wraps this library to make it available for other ROS components. This is a common practice for third-party libraries without available deb sources. It is licensed under the MIT-License.
  • OpenMP (optional): This is used to parallelize and speed up the processing of each point in the point cloud. If not found by CMake the processing will be done sequentially.
  • Doxygen (optional): If available, this Doxygen documentation will be build automatically.

Build

  1. Clone repository:

    git clone https://github.com/FraunhoferIOSB/multisensor_calibration.git
  2. Initialize rosdep and install dependencies:

    sudo rosdep init
    rosdep update
    rosdep install --from-paths src -y --ignore-src
  3. Run colcon to build from source:
    To build in 'Debug' mode add -DCMAKE_BUILD_TYPE=Debug to catkin command. If 'CMAKE_BUILD_TYPE' omitted, multisensor_calibration will be build in 'Release' mode.

    MAKEFLAGS='-j 8' colcon build --symlink-install --cmake-args -DCMAKE_BUILD_TYPE=Release

Usage

Run the following launch file from the package.

ros2 launch multisensor_calibration multi_sensor_calib_example.launch.py

Documentation

See the user documentation for basic usage, tutorials and workflows.

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Universal calibration toolbox for assisted, target-based multi-sensor calibration with ROS 1 and ROS 2 support.

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