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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Autors principals:	Zheng Li, Shihua Yuan, Xufeng Yin, Xueyuan Li, Shouxing Tang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-01-01
Col·lecció:	Sensors
Matèries:	autonomous driving deep reinforcement learning car following obstacle avoidance obstacle representation
Accés en línia:	https://www.mdpi.com/1424-8220/23/2/844
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