Multi-Sensor Information Ensemble-Based Automatic Parking System for Vehicle Parallel/Nonparallel Initial State

Author:

Piao Changhao,Zhang Jun,Chang KyungHiORCID,Li Yan,Liu Mingjie

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.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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

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