激光雷达和相机传感器设置 的自动外部校准方法 ROS 包_C++_代码_相关文件_下载

# velo2cam_calibration [](https://build.ros.org/view/Ndev/job/Ndev__velo2cam_calibration__ubuntu_focal_amd64/) 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](https://beltransen.github.io/), [Carlos Guindel](https://cguindel.github.io/), Arturo de la Escalera, Fernando García IEEE Transactions on Intelligent Transportation Systems, 2022 **\[[Paper](https://ieeexplore.ieee.org/abstract/document/9733276)\] \[[Preprint](https://arxiv.org/abs/2101.04431)\]**  ## 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](http://wiki.ros.org/ROS/Tutorials/BuildingPackages). ## Usage ## See [HOWTO.md](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](https://github.com/beltransen/velo2cam_gazebo). ## Calibration target ## The following picture shows a possible embodiment of the proposed calibration target used by this algorithm and its corresponding dimensional drawing.  **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](https://github.com/beltransen/velo2cam_calibration/tree/v1.0) and was described on this [paper](https://doi.org/10.1109/ITSC.2017.8317829).