Lane-Level and Full-Cycle Multivehicle Tracking Using Low-Channel Roadside LiDAR
Author:
Affiliation:
1. Department of Traffic Information and Control Engineering, Jilin University, Changchun, China
2. Department of Civil, Environmental, and Construction Engineering, Texas Tech University, Lubbock, TX, USA
Funder
Scientific Research Project of the Education Department of Jilin Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10163834.pdf?arnumber=10163834
Reference61 articles.
1. Collaborative Deep Reinforcement Learning for Multi-object Tracking
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3. Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers
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5. Pareto Optimal Information Flow Topology for Control of Connected Autonomous Vehicles
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