The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 165–172, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-165-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 165–172, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-165-2019

  04 Jun 2019

04 Jun 2019

THE JOINT RESEARCH PROJECT ANKOMMEN – EXPLORATION USING AUTOMATED UAV AND UGV

A. Alamouri1, M. Gerke1, S. Batzdorfer2, M. Becker2, U. Bestmann2, M. Bobbe2, Y. Khedar2, T. Blume3, J. Schattenberg3, and J. Schmiemann3 A. Alamouri et al.
  • 1Technische Universitaet Braunschweig, Institute for Geodesy and Photogrammetry, Braunschweig, Germany
  • 2Technische Universitaet Braunschweig, Institute of Flight Guidance, Braunschweig, Germany
  • 3Technische Universitaet Braunschweig, Institute of Mobile Machines and Commercial Vehicles, Braunschweig, Germany

Keywords: Emergency, Exploration, UAV/UGV, Database management, Web application

Abstract. 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still not an easy task because - in most cases - a priori known spatial information like map data or geo-databases, are outdated.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.