基于边缘设备的路边停车位实时占用检测

Fengshun Liao, Yu Sun, Yiliang Wu, Ju Wang
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引用次数: 0

摘要

我们开发了一个可以实时检测街边停车位的系统。该系统采用定位模块、摄像头和NVIDIA Jetson Xavier NX搭建设备组件,在其上部署了修剪You Only Look Once v5、Simple Online和Realtime Tracking and counting算法,完成对城市街边停车位占用率、地理位置等信息的采集。我们的设备可以集成到出租车或在线汽车上的智能仪表盘摄像头中,形成一个监控网络。这样的网络可以动态更新城市街道停车占用信息。更重要的是,长期收集这些信息可以分析出租率,这在街边停车位规划方面是非常宝贵的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time Occupancy Detection Of On-street Parking Spaces Based On An Edge Device
We developed a system that can detect on-street parking spaces in real-time. The system uses a positioning module, a camera, and NVIDIA Jetson Xavier NX to build the device components on which pruned You Only Look Once v5, Simple Online and Realtime Tracking and counting algorithm are deployed to complete the collection of occupancy, geographic location, and other information of urban on-street parking spaces. Our device can be integrated into the intelligent dashboard cameras onboard taxis or online cars to form a monitoring network. Such a network enables a dynamic update of urban on-street parking occupancy information. More importantly, a long-term collection of this information allows for an analysis of the occupancy rate which is invaluable in terms of on-street parking space planning.
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