Choi, Dong-Geol Bok, Yunsu Kim, Jun-Sik Kweon, In So 2024-01-20T05:02:50Z 2024-01-20T05:02:50Z 2021-09-04 2016-02 1552-3098 https://pubs.kist.re.kr/handle/201004/124475 This paper describes a new methodology for estimating the relative pose between two 2-D lidars. Scanned points of 2-D lidars do not have enough feature information for correspondence matching. For this reason, additional image sensors or artificial landmarks at known locations have been used to find the relative pose. We propose a novel method of estimating the relative pose between 2-D lidars without any additional sensors or artificial landmarks. By scanning two orthogonal planes, we utilize the coplanarity of the scan points on each plane and the orthogonality of the plane normals. Even if we capture planes which are not exactly orthogonal, the method provides good results using nonlinear optimization. Experiments with both synthetic and real data show the validity of the proposed method. We also derive two degenerate cases: one related to plane poses, and the other caused by the relative pose. To the best of our knowledge, this study provides the first solution for the problem. English IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC LASER CAMERA ROBOT SLAM Extrinsic Calibration of 2-D Lidars Using Two Orthogonal Planes Article 10.1109/TRO.2015.2502860 1 IEEE TRANSACTIONS ON ROBOTICS, v.32, no.1, pp.83 - 98 IEEE TRANSACTIONS ON ROBOTICS 32 1 83 98 scie scopus 000370764000006 2-s2.0-84953233132 Robotics Robotics Article LASER CAMERA ROBOT SLAM Calibration orthogonal planes 2-D lidar