{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/automatic-extrinsic-calibration-for-lidar","title":"Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setups","arxiv_id":"1705.04085","date":"2017-05-11","proceeding":null,"authors":["Carlos Guindel","Jorge Beltrán","David Martín","Fernando García"],"abstract":"Sensor setups consisting of a combination of 3D range scanner lasers and\nstereo vision systems are becoming a popular choice for on-board perception\nsystems in vehicles; however, the combined use of both sources of information\nimplies a tedious calibration process. We present a method for extrinsic\ncalibration of lidar-stereo camera pairs without user intervention. Our\ncalibration approach is aimed to cope with the constraints commonly found in\nautomotive setups, such as low-resolution and specific sensor poses. To\ndemonstrate the performance of our method, we also introduce a novel approach\nfor the quantitative assessment of the calibration results, based on a\nsimulation environment. Tests using real devices have been conducted as well,\nproving the usability of the system and the improvement over the existing\napproaches. Code is available at http://wiki.ros.org/velo2cam_calibration","url_abs":"http://arxiv.org/abs/1705.04085v3","url_pdf":"http://arxiv.org/pdf/1705.04085v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"automatic-extrinsic-calibration-for-lidar","repo_url":"https://github.com/beltransen/velo2cam_calibration","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"automatic-extrinsic-calibration-for-lidar","repo_url":"https://github.com/beltransen/velo2cam_gazebo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}