Title :
Information Fusion Based on Collective Intelligence for Multi-robot Search and Rescue Missions
Author :
Zadorozhny, Vladimir ; Lewis, Marlon
Author_Institution :
Sch. of Inf. Sci., Univ. of Pittsburgh, Pittsburgh, PA, USA
Abstract :
In this paper, we introduce an automatic information fusion method that exploits the collective intelligence of mobile robots to efficiently “crowdsource” victim detection tasks. We reduce the load on the operators requiring them to acknowledge only presence of the victim in an image (to annotate the image). The task of finding victim location is performed via automatic fusion of annotated images from the image queue.
Keywords :
emergency services; image fusion; mobile robots; multi-robot systems; robot vision; collective intelligence; image annotation; information fusion; mobile robot; multirobot search and rescue mission; victim detection task crowdsourcing; Cameras; Data integration; Laser fusion; Robot kinematics; Robot vision systems; collective intelligence; information fusion; mobile robots; search and rescue mission;
Conference_Titel :
Mobile Data Management (MDM), 2013 IEEE 14th International Conference on
Conference_Location :
Milan
Print_ISBN :
978-1-4673-6068-5
DOI :
10.1109/MDM.2013.40