Asynchronous Information Fusion in Intelligent Driving Systems for Target Tracking Using Cameras and Radars
Author:
Affiliation:
1. School of Automation, Beijing Institute of Technology, Beijing, China
2. School of Electrical and Information Engineering, Tianjin University, Tianjin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/9955034/09765719.pdf?arnumber=9765719
Reference28 articles.
1. Sparsity-Based Two-Dimensional DOA Estimation for Coprime Array: From Sum–Difference Coarray Viewpoint
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4. Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions
5. Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
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