Title :
Coordinated Search with a Swarm of UAVs
Author :
Waharte, Sonia ; Trigoni, Niki ; Julier, Simon J.
Author_Institution :
Comput. Lab., Univ. of Oxford, Oxford, UK
Abstract :
Search is a fundamental task for wilderness search and rescue that can greatly benefit from the use of a swarm of autonomous UAVs to survey the environment. The benefits are maximised if the UAVs coordinate their search activities with one another. In this poster, we present our preliminary work on developing coordination strategies for multiple UAVs. It is based on a distributed, grid-based probabilistic environmental model. We discuss the practicalities of the search task, present a simplified mathematical model of the environment and sensors, and present some preliminary simulation-based results. These clearly illustrate, even in a highly simplified case, the great benefits of coordinated search.
Keywords :
aircraft; control engineering computing; grid computing; multi-robot systems; remotely operated vehicles; UAVs; grid-based probabilistic environmental model; unmanned aerial vehicles; wilderness search and rescue; Cameras; Control systems; Educational institutions; Helicopters; Mathematical model; Navigation; Payloads; Sensor systems; Surveillance; Unmanned aerial vehicles;
Conference_Titel :
Sensor, Mesh and Ad Hoc Communications and Networks Workshops, 2009. SECON Workshops '09. 6th Annual IEEE Communications Society Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-3938-6
DOI :
10.1109/SAHCNW.2009.5172925