基于无人机的车辆目标实时检测
发布时间：2018-07-23 17:35
【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。
[Abstract]:More and more researchers begin to pay attention to vehicle detection based on UAV system and have been widely studied and tested in traffic management and monitoring system. In order to monitor the traffic situation of road vehicles more intuitively, this paper carries out real-time vehicle detection based on UAV video data. Firstly, a small UAV data acquisition system is built; for the collected video data, the vehicle detection is carried out by using the depth learning framework; based on the detection of depth learning, the vehicle detection results are optimized. The experimental results show that this method is effective and real-time, and provides a high efficiency and flexible monitoring mode for the monitoring and management department.
【作者单位】： 武汉大学测绘遥感信息工程国家重点实验室;
【分类号】：TP274;U495
本文编号：2140137
[Abstract]:More and more researchers begin to pay attention to vehicle detection based on UAV system and have been widely studied and tested in traffic management and monitoring system. In order to monitor the traffic situation of road vehicles more intuitively, this paper carries out real-time vehicle detection based on UAV video data. Firstly, a small UAV data acquisition system is built; for the collected video data, the vehicle detection is carried out by using the depth learning framework; based on the detection of depth learning, the vehicle detection results are optimized. The experimental results show that this method is effective and real-time, and provides a high efficiency and flexible monitoring mode for the monitoring and management department.
【作者单位】： 武汉大学测绘遥感信息工程国家重点实验室;
【分类号】：TP274;U495
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