LB-L2L-Calib: Accurate and Robust Extrinsic Calibration for Multiple 3D LiDARs with Long Baseline and Large Viewpoint Difference

Author:

Zhang Jun1,Lyu Qiyang1,Peng Guohao1,Wu Zhenyu1,Yan Qiao1,Wang Danwei1

Affiliation:

1. School of Electrical and Electronic Engineering, Nanyang Technological University,Singapore

Publisher

IEEE

Reference35 articles.

1. Automatic lidar-camera calibration of extrinsic parameters using a spherical target;tóth;2020 IEEE International Conference on Robotics and Automation (ICRA),0

2. Unified Intrinsic and Extrinsic Camera and LiDAR Calibration under Uncertainties

3. The normal distributions transform: a new approach to laser scan matching

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LB-R2R-Calib: Accurate and Robust Extrinsic Calibration of Multiple Long Baseline 4D Imaging Radars for V2X;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. LiDAR-Link: Observability-Aware Probabilistic Plane-Based Extrinsic Calibration for Non-Overlapping Solid-State LiDARs;IEEE Robotics and Automation Letters;2024-03

3. SLAM-Based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization;IEEE Transactions on Robotics;2024

4. SLAM-Based Joint Calibration of Differential RSS Sensor Array and Source Localization;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

5. LB-L2L-Calib 2.0: A Novel Online Extrinsic Calibration Method for Multiple Long Baseline 3D LiDARs Using Objects;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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