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velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro jazzy showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro kilted showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro rolling showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro ardent showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro bouncy showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro crystal showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro eloquent showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro dashing showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro galactic showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro foxy showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro iron showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro jade showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro indigo showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

No version for distro hydro showing lunar. Known supported distros are highlighted in the buttons above.
Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
lunar

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
kinetic

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
melodic

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING

Repo symbol

velo2cam_calibration repository

velo2cam_calibration

ROS Distro
noetic

Repository Summary

Checkout URI https://github.com/beltransen/velo2cam_calibration.git
VCS Type git
VCS Version master
Last Updated 2022-03-16
Dev Status MAINTAINED
Released UNRELEASED
Tags No category tags.
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Packages

Name Version
velo2cam_calibration 1.0.1

README

velo2cam_calibration Build Status

The velo2cam_calibration software implements a state-of-the-art automatic calibration algorithm for pair of sensors composed of LiDAR and camera devices in any possible combination, as described in this paper:

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Jorge Beltrán, Carlos Guindel, Arturo de la Escalera, Fernando García
IEEE Transactions on Intelligent Transportation Systems, 2022
[Paper] [Preprint]

real results

Setup

This software is provided as a ROS package. To install:

  1. Clone the repository into your catkin_ws/src/ folder.
  2. Install run dependencies: sudo apt-get install ros-<distro>-opencv-apps
  3. Build your workspace as usual.

Usage

See HOWTO.md for detailed instructions on how to use this software.

To test the algorithm in a virtual environment, you can launch any of the calibration scenarios included in our Gazebo validation suite.

Calibration target

The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.

calibration target

Note: Other size may be used for convenience. If so, please configure node parameters accordingly.

Citation

If you use this work in your research, please consider citing the following paper:

@article{beltran2022,  
  author={Beltrán, Jorge and Guindel, Carlos and de la Escalera, Arturo and García, Fernando},  
  journal={IEEE Transactions on Intelligent Transportation Systems},   
  title={Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups},   
  year={2022}, 
  doi={10.1109/TITS.2022.3155228}
}

A previous version of this tool is available here and was described on this paper.

CONTRIBUTING