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...
Main Authors: | Jiren Zhang, Hui Chen, Shaoyu Song, Fengwei Hu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9171278/ |
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