Feature level sensor fusion for target detection in dynamic environments

Yue Li, Devesh K. Jha, Asok Ray, Thomas A. Wettergren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations


This paper addresses the problem of target detection in dynamic environments. A key challenge here is to simultaneously achieve high probabilities of correct detection with low false alarm rates under limited computation and communication resources. To this end, a procedure of binary hypothesis testing is proposed based on agglomerative hierarchical feature clustering. The proposed procedure has been experimentally validated in the laboratory setting on a mobile robot for target detection by using multiple homogeneous (with different orientations) infrared sensors in the presence of changing ambient light intensities. The experimental results show that the proposed target detection procedure with feature-level sensor fusion outperforms those with decision-level sensor fusion.

Original languageEnglish (US)
Title of host publicationACC 2015 - 2015 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781479986842
StatePublished - Jul 28 2015
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: Jul 1 2015Jul 3 2015

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2015 American Control Conference, ACC 2015
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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