期刊论文详细信息
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
THE JOINT RESEARCH PROJECT ANKOMMEN – EXPLORATION USING AUTOMATED UAV AND UGV
Alamouri, A.^11  Gerke, M.^12  Batzdorfer, S.^23 
[1] Technische Universitaet Braunschweig, Institute for Geodesy and Photogrammetry, Braunschweig, Germany^1;Technische Universitaet Braunschweig, Institute of Flight Guidance, Braunschweig, Germany^2;Technische Universitaet Braunschweig, Institute of Mobile Machines and Commercial Vehicles, Braunschweig, Germany^3
关键词: Emergency;    Exploration;    UAV/UGV;    Database management;    Web application;   
DOI  :  10.5194/isprs-archives-XLII-2-W13-165-2019
学科分类:地球科学(综合)
来源: Copernicus Publications
PDF
【 摘 要 】

Disasters such as floods, large fires, landslides, avalanches, or forest fires are often inevitable and cannot be fully prevented, but their impact can be minimized with sound disaster management strategies aided by the latest technological advancements. A key factor affecting these strategies is the time, where any delay can result in dramatic consequences and potentially human losses. Therefore, a quick situation report of the disaster is highly demanded, but still not an easy task because - in most cases - a priori known spatial information like map data or geo-databases, are outdated. In addition, visual and geometric information on the current situation is needed to help rescue teams and first responders. From this point of view, we came up to the main idea of the joint research project ANKommEn and its extension ANKommEn 2 (german acronym for Automated Navigation and Communication for Exploration). The project idea embodies an exploratory investigation to be smart in providing correct and timely geodata that can help in emergency cases; especially in support decision making in emergency risk management. For this purpose, automated unmanned systems, both ground (UGV) and airborne (UAV), are being developed to provide up-to-date information of rescue scenarios.

【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO201911048685213ZK.pdf 2586KB PDF download
  文献评价指标  
  下载次数:29次 浏览次数:39次