摘要
越来越多的研究者开始关注基于无人机系统的车辆检测,已在交通管理与监控系统中得到广泛的研究与试验。为了更加直观地监测道路车辆交通情况,本文基于无人机视频数据进行车辆的实时检测。首先搭建了小型无人机数据采集系统;针对采集的视频数据,采用深度学习框架进行车辆检测;基于深度学习的检测,尝试优化车辆检测结果。试验结果表明本文方法具有有效性和实时性,为监控管理部门提供了一种高效率、机动灵活的监测模式。
Detecting vehicles from autonomous unmanned aerial vehicle( UAV) systems is attracting the attention of more and more researchers. This technique has also been widely applied in traffic monitoring and management. In order to monitor the traffic condition directly,this paper focus on the vehicle detection based on the UAV in real time. build a small data acquisition system,utilize the deep learning framework for automatic vehicle detection,and improve the accuracy of detection result. The result of experiments shows that the strategy is effective and real-time,which provides an efficient and flexible monitoring mode for traffic management department.
出处
《测绘通报》
CSCD
北大核心
2017年第S1期164-168,共5页
Bulletin of Surveying and Mapping
