End-to-End Automated Lane-Change Maneuvering Considering Driving Style Using a Deep Deterministic Policy Gradient Algorithm

End-to-End Automated Lane-Change Maneuvering Considering Driving Style Using a Deep Deterministic Policy Gradient Algorithm

Changing lanes while driving requires coordinating the lateral and longitudinal controls of a vehicle, considering its running state and the surrounding environment. Although the existing rule-based automated lane-changing method is simple, it is unsuitable for unpredictable scenarios encountered in...

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Bibliographic Details
Main Authors: Hongyu Hu, Ziyang Lu, Qi Wang, Chengyuan Zheng
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
intelligent vehicle
automated lane change
driving style
reinforcement learning
deep deterministic policy gradient
Online Access:https://www.mdpi.com/1424-8220/20/18/5443

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