Research into Autonomous Vehicles Following and Obstacle Avoidance Based on Deep Reinforcement Learning Method under Map Constraints

Compared with traditional rule-based algorithms, deep reinforcement learning methods in autonomous driving are able to reduce the response time of vehicles to the driving environment and fully exploit the advantages of autopilot. Nowadays, autonomous vehicles mainly drive on urban roads and are cons...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Zheng Li, Shihua Yuan, Xufeng Yin, Xueyuan Li, Shouxing Tang
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Subjects:	autonomous driving deep reinforcement learning car following obstacle avoidance obstacle representation
Online Access:	https://www.mdpi.com/1424-8220/23/2/844