LB-R2R-Calib: Accurate and Robust Extrinsic Calibration of Multiple Long Baseline 4D Imaging Radars for V2X-Reference-Cited by-同舟云学术

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LB-R2R-Calib: Accurate and Robust Extrinsic Calibration of Multiple Long Baseline 4D Imaging Radars for V2X

Published:2024-05-13 Issue: Volume: Page:16729-16735
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Zhang Jun¹,Yang Zihan¹,Zhang Fangwei¹,Wu Zhenyu¹,Peng Guohao¹,Liu Yiyao¹,Lyu Qiyang¹,Wen Mingxing²,Wang Danwei¹

Affiliation:

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

2. China-Singapore International Joint Research Institute,Intelligent Perception Innovation Research Center

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611470.pdf?arnumber=10611470

Reference31 articles.

1. TrajMatch: Toward Automatic Spatio-Temporal Calibration for Roadside LiDARs Through Trajectory Matching

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

3. LB-L2L-Calib 2.0: A Novel Online Extrinsic Calibration Method for Multiple Long Baseline 3D LiDARs Using Objects

4. Robust Target Detection and Tracking Algorithm Based on Roadside Radar and Camera

5. A Roadside Millimeter-Wave Radar Calibration Method Based on Connected Vehicle Technology

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