Driving Decisions for Autonomous Vehicles in Intersection Environments: Deep Reinforcement Learning Approaches with Risk Assessment

Driving Decisions for Autonomous Vehicles in Intersection Environments: Deep Reinforcement Learning Approaches with Risk Assessment

Intersection scenarios are one of the most complex and high-risk traffic scenarios. Therefore, it is important to propose a vehicle driving decision algorithm for intersection scenarios. Most of the related studies have focused on considering explicit collision risks while lacking consideration for...

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Bibliographic Details
Main Authors: Wangpengfei Yu, Yubin Qian, Jiejie Xu, Hongtao Sun, Junxiang Wang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:World Electric Vehicle Journal
Subjects:
intelligent vehicle
decision-making
driving safety
deep reinforcement learning
risk assessment
Online Access:https://www.mdpi.com/2032-6653/14/4/79

Internet

https://www.mdpi.com/2032-6653/14/4/79

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