期刊论文详细信息
Symmetry 卷:13
Research Review on Parking Space Detection Method
Yong Ma1  Hanxi Li1  Yangguo Liu1  Shihui Guo2  Yuanlong Cao3  Lin Zhang4 
[1] School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China;
[2] School of Informatics, Xiamen University, Xiamen 361005, China;
[3] School of Software, Jiangxi Normal University, Nanchang 330022, China;
[4] School of Software, Tongji University, Shanghai 201804, China;
关键词: parking assist system;    parking space detection;    symmetrical structures;    sensors;    reliable detection;    free space;   
DOI  :  10.3390/sym13010128
来源: DOAJ
【 摘 要 】

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.

【 授权许可】

Unknown   

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