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Real-time Detection of Illegally Parked Vehicles in Roadside Parking Areas Based on Intelligent Video Terminals

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author:

Tang, K. (Tang, K..) [1] | Sun, Y. (Sun, Y..) [2] (Scholars:孙玉) | Zhong, X. (Zhong, X..) [3]

Indexed by:

Scopus

Abstract:

With the development of artificial intelligence technology, urban traffic management has become increasingly convenient, and the task of illegal parking detection has become a major research focus. Currently, most illegal parking detection schemes use fixed-point cameras, which not only waste resources but also have the limitation of a small detection range. To overcome this issue, we have designed a highly mobile system for detecting illegally parked vehicles. Considering the different relative positions of the tires and parking lines in roadside parking areas, we use an optimized You Only Look Once(YOLOv5) algorithm to classify the tires and determine whether the vehicle is illegally parked based on different category of tires combinations. Subsequently, we applied the above-mentioned illegal parking detection strategy to a embedded device which mounted on the mobile vehicle to realize the real-time mobile detection and information collection of illegal vehicles in the roadside parking area. © 2024 Copyright held by the owner/author(s).

Keyword:

illegal parking detection mobile system optimized YOLOV5

Community:

  • [ 1 ] [Tang K.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, China
  • [ 2 ] [Sun Y.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, China
  • [ 3 ] [Zhong X.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, China

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Source :

Year: 2024

Page: 302-308

Language: English

Cited Count:

WoS CC Cited Count:

30 Days PV: 2

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