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Real-Time MUAV Video Augmentation with Geo-information for Remote Monitoring

机译:带有地理信息的实时MUAV视频增强以进行远程监控

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Micro Unmanned Aerial Vehicles (MUAV) offers a flexible and cheap way to acquire aerial images and videos, and it becomes a convenient solution to the spatial data capturing. High-resolution real-time videos broadcast by a flying MUAV can provide many applications with effective remote monitoring, but generally people can't read other geo-information from video frames of the places where they are not familiar except the MUAV locations that are on the digital maps of the geographic information system (GIS). In order to promote the remote monitoring effect and make the data post-processing easier, this paper proposes a solution to augmenting real-time videos from the remote flying MUAV with geo-information. The solution includes four steps: 1) geo-data collection: large-scale digital maps of the MUAV monitoring area are required, and they should be converted from 2D to 3D for real-time visualization, 2) high-precision tracking for MUAV flying pose: DGPS and inertial sensors are used to capture MUAV pose in the high frequency of 20Hz, 3) video and geo-information registration: interactive technology is applied to get robust augmented results of the video, 4) interactive analysis: users query or measure places and distances directly on the video with the support of registered geo-information. We developed a prototype system including a server (temporally used as a ground station)and a terminal (i.e. MUAV platform), and the experiment was performed in the campus of Peking University, in which one could read the names of buildings and roads directly. The main advantages of the system are: 1) DGPS on the MUAV platform can provide much more stable and high-precision real-time location information than those augmented reality (AR) systems playing on the ground, as there is no interference to GPS signals from the ground objects, such as trees, buildings, and water etc., 2) Immediate geo-information can be obtained from the augmented video, 3) the traditional UAV ground stat- on is promoted by a 3D dynamic video subsystem, which can also provide query and spatial analysis.
机译:微型无人机(MUAV)提供了一种灵活且廉价的方式来获取航空图像和视频,并且它成为空间数据捕获的便捷解决方案。飞行中的MUAV播放的高分辨率实时视频可以为许多应用程序提供有效的远程监视,但是通常人们无法从他们不熟悉的地方(除了MUAV所在的位置)的视频帧中读取其他地理信息。地理信息系统(GIS)的数字地图。为了提高远程监控效果并简化数据后处理,本文提出了一种利用地理信息来增强来自远程飞行MUAV的实时视频的解决方案。该解决方案包括四个步骤:1)地理数据收集:需要MUAV监视区域的大规模数字地图,并且应将其从2D转换为3D以进行实时可视化; 2)高精度跟踪MUAV飞行姿态:DGPS和惯性传感器用于捕获20Hz高频下的MUAV姿态; 3)视频和地理信息配准:应用交互式技术获得强大的视频增强结果; 4)交互式分析:用户查询或测量在注册的地理信息的支持下,直接在视频上放置位置和距离。我们开发了一个包括服务器(暂时用作地面站)和终端(即MUAV平台)的原型系统,并在北京大学校园内进行了实验,可以直接读取建筑物和道路的名称。该系统的主要优点是:1)MUAV平台上的DGPS可以提供​​比在地面上播放的那些增强现实(AR)系统更为稳定和高精度的实时位置信息,因为不会干扰GPS信号从地面物体(例如树木,建筑物和水等),2)可以从增强视频中获得即时的地理信息,3)3D动态视频子系统促进了传统的无人机地面状态,可以还提供查询和空间分析。

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