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Research Review on Parking Space Detection Method
Symmetry ( IF 2.940 ) Pub Date : 2021-01-13 , DOI: 10.3390/sym13010128
Yong Ma , Yangguo Liu , Lin Zhang , Yuanlong Cao , Shihui Guo , Hanxi Li

The parking assist system is an essential application of the car’s active collision avoidance system in low-speed and complex urban environments, which has been a hot research topic in recent years. Parking space detection is an important step of the parking assistance system, and its research object is parking spaces with symmetrical structures in parking lots. By analyzing and investigating parking space information measured by the sensors, reliable detection of sufficient parking spaces can be realized. First, this article discusses the main problems in the process of detecting parking spaces, illustrating the research significance and current research status of parking space detection methods. In addition, it further introduces some parking space detection methods, including free-space-based methods, parking-space-marking-based methods, user-interface-based methods, and infrastructure-based methods, which are all under methods of parking space selection. Lastly, this article summarizes the parking space detection methods, which gives a clear direction for future research.

中文翻译:

停车位检测方法研究综述

停车辅助系统是汽车主动防撞系统在低速和复杂城市环境中的必不可少的应用,这已成为近年来研究的热点。停车位检测是停车辅助系统的重要步骤,其研究对象是停车场中具有对称结构的停车位。通过分析和调查由传感器测量的停车位信息,可以实现对足够的停车位的可靠检测。首先,本文探讨了停车位检测过程中的主要问题,阐述了停车位检测方法的研究意义和研究现状。此外,它还介绍了一些停车位检测方法,包括基于自由空间的方法,基于停车位标记的方法,基于用户界面的方法和基于基础结构的方法,都属于停车位选择方法。最后,本文总结了停车位检测方法,为今后的研究指明了方向。
更新日期:2021-01-13
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