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Research Review on Parking Space Detection Method
| Content Provider | MDPI |
|---|---|
| Author | Ma, Yong Liu, Yangguo Zhang, Lin Cao, Yuanlong Guo, Shihui Li, Hanxi |
| Copyright Year | 2021 |
| 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. |
| Starting Page | 128 |
| e-ISSN | 20738994 |
| DOI | 10.3390/sym13010128 |
| Journal | Symmetry |
| Issue Number | 1 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-01-13 |
| Access Restriction | Open |
| Subject Keyword | Symmetry Transportation Science and Technology Parking Assist System Parking Space Detection Symmetrical Structures Sensors Reliable Detection Free Space Parking Space Marking User Interface Infrastructures |
| Content Type | Text |
| Resource Type | Article |
