Research Review on Parking Space Detection Method
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 objec...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-01-01
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| Series: | Symmetry |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-8994/13/1/128 |
| _version_ | 1797412022920413184 |
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| author | Yong Ma Yangguo Liu Lin Zhang Yuanlong Cao Shihui Guo Hanxi Li |
| author_facet | Yong Ma Yangguo Liu Lin Zhang Yuanlong Cao Shihui Guo Hanxi Li |
| author_sort | Yong Ma |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T04:56:02Z |
| format | Article |
| id | doaj.art-40b31cfae0dc41538b39e1d4cbf44c44 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-09T04:56:02Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-40b31cfae0dc41538b39e1d4cbf44c442023-12-03T13:05:34ZengMDPI AGSymmetry2073-89942021-01-0113112810.3390/sym13010128Research Review on Parking Space Detection MethodYong Ma0Yangguo Liu1Lin Zhang2Yuanlong Cao3Shihui Guo4Hanxi Li5School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, ChinaSchool of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, ChinaSchool of Software, Tongji University, Shanghai 201804, ChinaSchool of Software, Jiangxi Normal University, Nanchang 330022, ChinaSchool of Informatics, Xiamen University, Xiamen 361005, ChinaSchool of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, ChinaThe 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.https://www.mdpi.com/2073-8994/13/1/128parking assist systemparking space detectionsymmetrical structuressensorsreliable detectionfree space |
| spellingShingle | Yong Ma Yangguo Liu Lin Zhang Yuanlong Cao Shihui Guo Hanxi Li Research Review on Parking Space Detection Method Symmetry parking assist system parking space detection symmetrical structures sensors reliable detection free space |
| title | Research Review on Parking Space Detection Method |
| title_full | Research Review on Parking Space Detection Method |
| title_fullStr | Research Review on Parking Space Detection Method |
| title_full_unstemmed | Research Review on Parking Space Detection Method |
| title_short | Research Review on Parking Space Detection Method |
| title_sort | research review on parking space detection method |
| topic | parking assist system parking space detection symmetrical structures sensors reliable detection free space |
| url | https://www.mdpi.com/2073-8994/13/1/128 |
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