Automatic Targetless Calibration for LiDAR and Camera Based on Instance Segmentation
Author:
Affiliation:
1. Department of Mechanical and Automotive Engineering, Beijing Institute of Technology, Beijing, China
2. Shenzhen Automotive Research Institute, Beijing Institute of Technology, Shenzhen, China
Funder
National Natural Science Foundation of China
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/ielx7/7083369/9990971/09830826.pdf?arnumber=9830826
Reference30 articles.
1. LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
2. Motion-based calibration of multimodal sensor arrays
3. Online Extrinsic Calibration Based on Per-Sensor Ego-Motion Using Dual Quaternions
4. RegNet: Multimodal sensor registration using deep neural networks
5. CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks
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3. Survey of Extrinsic Calibration on LiDAR-Camera System for Intelligent Vehicle: Challenges, Approaches, and Trends;IEEE Transactions on Intelligent Transportation Systems;2024
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