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| This paper firstly discusses the current ways of parking lot detecting. Although intelligent parking has playing an increasingly important role in the field of smart transportation, however, in the currently commercialized parking space detecting system, the forms of scheme are various, but there have some disadvantages such as low accuracy, poor anti-jamming ability and so on. Then we consider a parking lot sensing system based on Ultra-Wideband (UWB) Radar and studying the parking sensing algorithm. The primal work is studying and introducing UWB Radar into the detecting system, selecting (signal strength-distance) two-dimensional data as the determination of the parking situation data sets, and using typical SVM classification algorithm and K-means clustering algorithm of machine learning filed to process the data. A parking space sensing system is designed and implemented. Also, the test cases are carried out to demonstrate the performance of the proposed schemes for the system. |
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| Keywords:Ultra-Wideband Radar; parking space detecting; K-means; SVM |
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