A Robust LiDAR-Camera Self-Calibration Via Rotation-Based Alignment and Multi-Level Cost Volume-Reference-Cited by-同舟云学术

A Robust LiDAR-Camera Self-Calibration Via Rotation-Based Alignment and Multi-Level Cost Volume

Published:2024-01 Issue:1 Volume:9 Page:627-634
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Duan Zaipeng¹^ORCID,Hu Xuzhong¹^ORCID,Ding Junfeng¹^ORCID,An Pei²^ORCID,Huang Xiao³^ORCID,Ma Jie¹^ORCID

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology (HUST), Wuhan, Hubei, China

2. School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan, China

3. China Ship Development and Design Center, Wuhan, Hubei, China

Funder

National Natural Science Foundation of China

Equipment Pre-Research, China Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10320104/10328060.pdf?arnumber=10328060

Reference34 articles.

1. Automatic Calibration of Multiple Cameras and Depth Sensors with a Spherical Target

2. Automatic LiDAR-camera calibration of extrinsic parameters using a spherical target;tóth t;Proc IEEE Int Conf Robot Automat,0

3. DEdgeNet: Extrinsic Calibration of Camera and LiDAR with Depth-discontinuous Edges

4. Geometric calibration for LiDAR-camera system fusing 3D-2D and 3D-3D point correspondences

5. Extrinsic Calibration between Camera and LiDAR Sensors by Matching Multiple 3D Planes

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2. A Review of Deep Learning-Based LiDAR and Camera Extrinsic Calibration;Sensors;2024-06-15

3. Survey of Extrinsic Calibration on LiDAR-Camera System for Intelligent Vehicle: Challenges, Approaches, and Trends;IEEE Transactions on Intelligent Transportation Systems;2024