Radioactive source localization in urban environments with sensor networks and the Internet of Things

Clair J. Sullivan

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

Abstract

The use of radiation detectors as an element in the so-called 'Internet of Things' has recently become viable with the available of low-cost, mobile radiation sensors capable of streaming geo-referenced data. New methods for fusing the data from multiple sensors on such a network is presented. The traditional simple and ordinary Kriging methods present a challenge for such a network since the assumption of a constant mean is not valid in this application. A variety of Kalman filters are introduced in an attempt to solve the problem associated with this variable and unknown mean. Results are presented on a deployed sensor network.

Original languageEnglish (US)
Title of host publication2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages384-388
Number of pages5
ISBN (Electronic)9781467397087
DOIs
StatePublished - Jul 2 2016
Event2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 - Baden-Baden, Germany
Duration: Sep 19 2016Sep 21 2016

Publication series

NameIEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Volume0

Other

Other2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016
CountryGermany
CityBaden-Baden
Period9/19/169/21/16

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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