Tracking targets with self-organizing distributed ground sensors

  • J. Moore
  • , T. Keiser
  • , R. Brooks
  • , S. Phoha
  • , D. Friedlander
  • , J. Koch
  • , A. Reggio
  • , N. Jacobson

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

    29 Scopus citations

    Abstract

    This paper describes a fully distributed approach to target tracking that we have implemented and tested in a military setting. The approach is built upon local sharing of robust statistics that summarize local events. Local collaboration extracts detection information such as time, velocity, position, heading and target type from the summary statistics. The groups of nodes used for local collaboration are determined dynamically at run time. Local collaboration information is compared with a list of tracks in the immediate vicinity. Associating detections to tracks is currently done using a variation of the nearest-neighbor metric. This paper extends our previous work by using mobile code daemons to support multiple hypothesis tracking methods. This is done in a resourceconstrained environment by using the network to swap sohare modules dynamically. Results from field tests of the approach are provided. This includes a dependability analysis of the distributed approach versus centralized systems.

    Original languageEnglish (US)
    Title of host publication2003 IEEE Aerospace Conference, Proceedings
    Pages2113-2123
    Number of pages11
    DOIs
    StatePublished - 2003
    Event2003 IEEE Aerospace Conference - Big Sky, MT, United States
    Duration: Mar 8 2003Mar 15 2003

    Publication series

    NameIEEE Aerospace Conference Proceedings
    Volume5
    ISSN (Print)1095-323X

    Other

    Other2003 IEEE Aerospace Conference
    Country/TerritoryUnited States
    CityBig Sky, MT
    Period3/8/033/15/03

    All Science Journal Classification (ASJC) codes

    • Aerospace Engineering
    • Space and Planetary Science

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