A Two-step Method for Extrinsic Calibration between a Sparse 3D LiDAR and a Thermal Camera

Jun Zhang, Prarinya Siritanawan, Yufeng Yue, Chule Yang, Mingxing Wen, Danwei Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

33 引用 (Scopus)

摘要

To obtain the 6 DOF extrinsic parameters (rotation and translation matrix) between a 3D ranging sensor and a thermal camera, previous methods require a high-resolution 3D ranging sensor to reliably detect features. Although sparse 3D LiDARs are widely used on autonomous robots, to the best of our knowledge, the extrinsic calibration between a sparse 3D LiDAR (particularly Velodyne VLP-16) and a thermal camera has not been considered in the literature. In this paper, we present a two-step method to address the problem, where a monocular visual camera is used to assist the process. The proposed method decomposes the problem into two steps: Extrinsic calibration between a sparse 3D LiDAR and a visual camera; extrinsic calibration between a visual camera and a thermal camera. Experiments are conducted to demonstrate the effectiveness of the proposed two-step method.

源语言英语
主期刊名2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
出版商Institute of Electrical and Electronics Engineers Inc.
1039-1044
页数6
ISBN(电子版)9781538695821
DOI
出版状态已出版 - 18 12月 2018
已对外发布
活动15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, 新加坡
期限: 18 11月 201821 11月 2018

出版系列

姓名2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

会议

会议15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
国家/地区新加坡
Singapore
时期18/11/1821/11/18

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