SWARM
Information Fusion Based on Collective Intelligence for Multi-robot Search and Rescue Missions
Vladimir Zadorozhny, Michael Lewis
- Year
- 2013
- Citations
- 21
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
Computer scienceTask (project management)RobotExploitArtificial intelligenceMobile robotImage fusionComputer visionInformation fusionCollision avoidance
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