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Information fusion approach using characteristic linear systems in multi-robot search and rescue task

Lee, PJ and Zadorozhny, V (2016) Information fusion approach using characteristic linear systems in multi-robot search and rescue task. In: UNSPECIFIED.

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Abstract

© 2016 IEEE. The issue of information fusion is getting more popular with the growth of the amount of data. The applications of these integrated data are varied in many areas such as healthcare, finance, or multisensory, etc. This paper introduces an information fusion method to integrate the sensor data for the multi-robot urban search and rescue operations. The partially duplicated reports from robots are represented as a linear system to have better knowledge of inconsistency between reports. The approximate number of targets of the multi-robot task and locations of these targets could be provided from the linear system. This multi-robot task is conducted continuously as robots traveling terrains and generating historical data. In this paper, we show how to perform information fusion associated with robots reports, as well as how report sparsity affect the performance.


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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lee, PJ
Zadorozhny, V
Date: 1 January 2016
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Proceedings - 2016 IEEE 17th International Conference on Information Reuse and Integration, IRI 2016
Page Range: 394 - 400
Event Type: Conference
DOI or Unique Handle: 10.1109/iri.2016.59
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781509032075
Date Deposited: 15 Jul 2016 17:45
Last Modified: 18 Oct 2017 15:55
URI: http://d-scholarship.pitt.edu/id/eprint/28647

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