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A UAV-Based Traffic Monitoring System - Invited Paper

机译:基于无人机的交通监控系统-邀请论文

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摘要

Traffic monitoring is important in urban areas. Traffic sensing solutions based on static cameras, however, do not offer a flexible, inexpensive solution for short-term traffic studies. To overcome the limitations of static solutions, we propose an aerial traffic monitoring system. It uses unmanned aerial vehicles (UAV) and onboard cameras to capture traffic video, which is sent and processed in the cloud. To validate the proposed system, we implemented a prototype with a quadcopter, an onboard camera with video and data processing algorithms, and a web application. The video processing module includes a vehicle detection stage based on the Haar cascade model and a frame-by-frame tracking stage. After experimental testing based on videos collected by the UAV, we conclude that the designed system can monitor traffic with high accuracy and flexibility.
机译:交通监控在城市地区很重要。但是,基于静态摄像机的交通感应解决方案无法为短期交通研究提供灵活,廉价的解决方案。为了克服静态解决方案的局限性,我们提出了一种空中交通监控系统。它使用无人飞行器(UAV)和机载摄像头捕获交通视频,并在云中发送和处理。为了验证所提出的系统,我们使用四轴飞行器,带有视频和数据处理算法的机载摄像头以及Web应用程序实现了原型。视频处理模块包括基于Haar级联模型的车辆检测阶段和逐帧跟踪阶段。根据无人机收集的视频进行实验测试后,我们得出结论,设计的系统可以高精度和灵活地监视流量。

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