DocumentCode :
664227
Title :
Fast guaranteed search with unmanned aerial vehicles
Author :
Rolling, Andreas ; Kleiner, Alexander ; Rudol, Piotr
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield, UK
fYear :
2013
fDate :
3-7 Nov. 2013
Firstpage :
6013
Lastpage :
6018
Abstract :
In this paper we consider the problem of searching for an arbitrarily smart and fast evader in a large environment with a team of unmanned aerial vehicles (UAVs) while providing guarantees of detection. Our emphasis is on the fast execution of efficient search strategies that minimize the number of UAVs and the search time. We present the first approach for computing fast guaranteed search strategies utilizing additional searchers to speed up the execution time and thereby enabling large scale UAV search. In order to scale to very large environments when using UAVs one would either have to overcome the energy limitations of UAVs or pay the cost of utilizing additional UAVs to speed up the search. Our approach is based on coordinating UAVs on sweep lines, covered by the UAV sensors, that move simultaneously through an environment. We present some simulation results that show a significant reduction in execution time when using multiple UAVs and a demonstration of a real system with three AR.Drone 2.0.
Keywords :
autonomous aerial vehicles; multi-robot systems; search problems; sensors; AR.Drone 2.0; UAV sensors; fast guaranteed search; search problem; search strategies; unmanned aerial vehicles; Delays; Robot kinematics; Robot sensing systems; Search problems; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
Conference_Location :
Tokyo
ISSN :
2153-0858
Type :
conf
DOI :
10.1109/IROS.2013.6697229
Filename :
6697229
Link To Document :
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