论文标题
2021年7月,在Erftstadt / Blessem的洪水灾难期间的空中机器人部署
Deployment of Aerial Robots during the Flood Disaster in Erftstadt / Blessem in July 2021
论文作者
论文摘要
气候变化导致越来越多的极端天气事件,例如大雨和洪水。该技术报告涉及一个问题,即在洪水灾害期间,如何使用无人驾驶汽车(UAV)(即2021年7月在中欧,更具体地说是在Erftstadt / Blessem的洪水中),如何更好,更快地为当前的信息提供。一方面,将无人机用于实时观察和定期检查洪水边缘,另一方面,用于系统数据采集,以便使用Motion和Multiview Stereo的结构来计算3D模型。嵌入GIS应用程序中的3D模型是系统探索和决策支持,以部署其他较小的无人机和救援力量的计划基础。通过自主曲折航班对无人机进行系统的数据采集提供了高分辨率图像,这些图像在15分钟内通过专用机器人命令车辆(ROBLW)计算为周围区域的地理3D 3D模型。从连续几天从3D模型中提取的高分辨率高程轮廓的比较,水位的变化变得可见。该信息使应急管理能够计划对建筑物的进一步检查,并在现场寻找失踪人员。
Climate change is leading to more and more extreme weather events such as heavy rainfall and flooding. This technical report deals with the question of how rescue commanders can be better and faster provided with current information during flood disasters using Unmanned Aerial Vehicles (UAVs), i.e. during the flood in July 2021 in Central Europe, more specifically in Erftstadt / Blessem. The UAVs were used for live observation and regular inspections of the flood edge on the one hand, and on the other hand for the systematic data acquisition in order to calculate 3D models using Structure from Motion and MultiView Stereo. The 3D models embedded in a GIS application serve as a planning basis for the systematic exploration and decision support for the deployment of additional smaller UAVs but also rescue forces. The systematic data acquisition of the UAVs by means of autonomous meander flights provides high-resolution images which are computed to a georeferenced 3D model of the surrounding area within 15 minutes in a specially equipped robotic command vehicle (RobLW). From the comparison of high-resolution elevation profiles extracted from the 3D model on successive days, changes in the water level become visible. This information enables the emergency management to plan further inspections of the buildings and to search for missing persons on site.