LB-L2L-Calib: Accurate and Robust Extrinsic Calibration for Multiple 3D LiDARs with Long Baseline and Large Viewpoint Difference
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Nanyang Technological University,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812062.pdf?arnumber=9812062
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
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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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