Abstract

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not an easy task because - in most cases - a priori known spatial information like map data or geo-databases, are outdated.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

Highlights

  • The overall system for data recording consists of Unmanned Aerial Vehicle (UAV), Unmanned Ground Vehicle (UGV) and a central ground and control station

  • The UAV and UGV used for carrying the built up sensor sets, data acquisition and processing hardware are depicted in Figure 1 and Figure 2

  • In case of long distance communication, it’s even possible to communicate without a direct link, utilizing data hopping over arbitrary agents, e.g. the ground station communicates with the UAV, utilizing the UGV as a range extender

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Summary

ANKOMMEN - SYSTEM DESIGN

The overall system for data recording consists of Unmanned Aerial Vehicle (UAV), Unmanned Ground Vehicle (UGV) and a central ground and control station. Exploration areas and tasks are updated with current information of the visual sensors such as combined RGB and IR camera within one UAV-payload and LiDAR while performing a mission This is done by a data streaming to the ground station via data link functionalities. In order to get exploration data and status information of the UAV or UGV a second mobile GCS has been built up for supporting in-site operators, shown in Figure 6 using the same hardware setup for communication and GNSS based positioning

SYSTEM COMMUNICATION
MAPPING BASED ON PHOTOGRAMMETRY AND SLAM
POINT CLOUD PROCESSING AND CLASSIFICATION
GEODATABASE MANAGEMENT AND GEODATA DEPLOYMENT
CONCLUSION
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