Intelligent Land-Vehicle Model Transfer Trajectory Planning Method Based on Deep Reinforcement Learning

Intelligent Land-Vehicle Model Transfer Trajectory Planning Method Based on Deep Reinforcement Learning

To address the problem of model error and tracking dependence in the process of intelligent vehicle motion planning, an intelligent vehicle model transfer trajectory planning method based on deep reinforcement learning is proposed, which is able to obtain an effective control action sequence directl...

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Bibliographic Details
Main Authors: Lingli Yu, Xuanya Shao, Yadong Wei, Kaijun Zhou
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
intelligent driving vehicle
trajectory planning
end-to-end
deep reinforcement learning
model transfer
Online Access:http://www.mdpi.com/1424-8220/18/9/2905

Internet

http://www.mdpi.com/1424-8220/18/9/2905

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