Reinforcement Learning-Based Motion Planning for Automatic Parking System

Reinforcement Learning-Based Motion Planning for Automatic Parking System

In automatic parking motion planning, multi-objective optimization including safety, comfort, parking efficiency, and final parking performance should be considered. Most of the current research relies on the parking data from expert drivers or prior knowledge of humans. However, it is challenging t...

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Bibliographic Details
Main Authors: Jiren Zhang, Hui Chen, Shaoyu Song, Fengwei Hu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Automatic parking
motion planning
reinforcement learning
Monte Carlo tree search
neural network
Online Access:https://ieeexplore.ieee.org/document/9171278/

Internet

https://ieeexplore.ieee.org/document/9171278/

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