DocumentCode
618133
Title
Fire tracking with collective intelligence using dynamic priority maps
Author
Howden, David J.
Author_Institution
Centre for Comput. & Eng. Software Syst., Swinburne Univ. of Technol., Melbourne, VIC, Australia
fYear
2013
fDate
20-23 June 2013
Firstpage
2610
Lastpage
2617
Abstract
This paper describes a swarm control algorithm based on distributed pheromone maps to effectively track a moving fire front. The algorithm uses a single heuristic to maintain persistent surveillance to detect new fires, while concurrently allowing for tracking of known fires. Control of the swarm is fully distributed and self-contained; requiring no external communication infrastructure and being resilient to individual hardware failures.
Keywords
autonomous aerial vehicles; distributed control; fires; multi-robot systems; path planning; collective intelligence; communication infrastructure; distributed pheromone map; dynamic priority map; fire detection; fire tracking; hardware failure; swarm control algorithm; unmanned aerial vehicle; Cameras; Fires; Fuels; Heuristic algorithms; Peer-to-peer computing; Robots; Surveillance; UAS; UAV; collective; distributed; fire; pheromone; swarm;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location
Cancun
Print_ISBN
978-1-4799-0453-2
Electronic_ISBN
978-1-4799-0452-5
Type
conf
DOI
10.1109/CEC.2013.6557884
Filename
6557884
Link To Document