ABSTRACT
Street parking in prohibited areas has become a social problem, especially in urban and tourist areas. In addition, because street parking can cause traffic congestion and accidents, real-time detection is required. The detection of street parking has been previously implemented on the basis of comparisons of videos recorded by fixed-point cameras. However, this approach has a limited detection area and low accuracy. In this demonstration, we present a system that recognizes street parking in real-time using a model trained by dashboard camera videos, which are widely used. The trained model was constructed by collecting data on 1,765 vehicles from dashboard camera videos. We use the Jetson TX2 as an edge device for vehicle recognition and processing. We create and demonstrate a dashboard camera device by attaching a camera and sensor module to the Jetson TX2.
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Cross Ref
- Xuemei Xie, Chenye Wang, Shu Chen, Guangming Shi, and Zhifu Zhao. 2017. Real-time illegal parking detection system based on deep learning. In Proceedings of the 2017 International Conference on Deep learning Technologies. 23--27.Google Scholar
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A method for detecting street parking using dashboard camera videos on an edge device: demo abstract
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