A multi-agent UAV swarm for automatic target recognition

Prithviraj Dasgupta, Stephen O'Hara, Flamen Petrov

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

3 Scopus citations

Abstract

We address the problem of automatic target recognition (ATR) using a multi-agent swarm of unmanned aerial vehicles(UAVs) deployed within a reconnaissance area. Traditionally, ATR is performed by UAVs that fly within the reconnaissance area to collect image data through sensors and upload the data to a central base station for analyzing and identifying potential targets. The centralized approach to ATR introduces several problems including scalability with the number of UAVs, network delays in communicating with the central location, and, susceptibility of the system to malicious attacks on the central location. In this paper, we describe a multi-agent system of UAVs to perform ATR. We assume that each UAV has limited computational capabilities and target identification can be performed by several UAVs that combine their resources including their computational capabilities. The UAVs employ a swarming algorithm implemented through software agents to congregate at and identify potential targets, and, a gossiping mechanism to disseminate information within the swarm.

Original languageEnglish (US)
Title of host publicationDefence Applications of Multi-Agent Systems - International Workshop, DAMAS 2005, Revised and Invited Papers
Pages80-91
Number of pages12
DOIs
StatePublished - Jul 10 2006
EventInternational Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2005 - Utrecht, Netherlands
Duration: Jul 25 2005Jul 25 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3890 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2005
CountryNetherlands
CityUtrecht
Period7/25/057/25/05

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Dasgupta, P., O'Hara, S., & Petrov, F. (2006). A multi-agent UAV swarm for automatic target recognition. In Defence Applications of Multi-Agent Systems - International Workshop, DAMAS 2005, Revised and Invited Papers (pp. 80-91). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3890 LNAI). https://doi.org/10.1007/11683704_7