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基于多传感器信息融合的车辆并行/非并行初始状态自动泊车系统。

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

机构信息

School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Department of Electrical and Computer Engineering, Inha University, 100 Inha-ro Michuhol-gu, Incheon 22212, Korea.

出版信息

Sensors (Basel). 2021 Mar 24;21(7):2261. doi: 10.3390/s21072261.

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.

摘要

自动泊车系统的目标是将车辆自动停放到指定的车位。它主要包括车位识别、车位匹配和轨迹生成。虽然已经有了很大的发展,但由于车位识别错误和车辆初始状态与车位不平行时的轨迹生成,这仍然是一项具有挑战性的工作。在本研究中,作者提出了一种基于多传感器信息融合的车位识别和自适应轨迹生成方法,该方法对车辆初始状态不平行也具有鲁棒性。通过仿真和实车实验证明了所提出的方法可以提高自动泊车系统的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fbb/8037424/e6a64588c942/sensors-21-02261-g001.jpg

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