Abstract
The goal of automatic parking system is to accomplish the vehicle parking to the specified space automatically. It mainly includes parking space recognition, parking space matching, and trajectory generation. It has been developed enormously, but it is still a challenging work due to parking space recognition error and trajectory generation for vehicle nonparallel initial state with parking space. In this study, the authors propose multi-sensor information ensemble for parking space recognition and adaptive trajectory generation method, which is also robust to vehicle nonparallel initial state. Both simulation and real vehicle experiments are conducted to prove that the proposed method can improve the automatic parking system performance.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Cited by
3 articles.
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1. Cloud-based Smart Parking System using Internet of Things;2023 International Wireless Communications and Mobile Computing (IWCMC);2023-06-19
2. Reinforcement Learning based Bi-stage Control for Semi-enclosed Berth;2022 13th Asian Control Conference (ASCC);2022-05-04
3. Research on Automatic Parking System Strategy;World Electric Vehicle Journal;2021-10-19