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Information fusion for USAR operations based on crowdsourcing

Zadorozhny, Vladimir and Lewis, Michael (2013) Information fusion for USAR operations based on crowdsourcing. In: 16th International Conference on Information Fusion, 09 July 2013 - 12 July 2013, Istanbul, Turkey.

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Abstract

In this paper, we introduce automatic information fusion methods for the urban search and rescue (USAR) operations that 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. This multi-robot information fusion is conducted continuously; as robots collectively explore larger areas, the estimated victim coordinates converge to actual victim locations.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Zadorozhny, Vladimir
Lewis, Michael
Date: 9 July 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Proceedings of 16th International Conference on Information Fusion
Event Title: 16th International Conference on Information Fusion
Event Dates: 09 July 2013 - 12 July 2013
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Date Deposited: 15 Jul 2013 14:54
Last Modified: 01 Nov 2017 12:55
URI: http://d-scholarship.pitt.edu/id/eprint/19290

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