Distributed automatic target recognition using multi-agent UAV swarms

Prithviraj Dasgupta

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

9 Scopus citations

Abstract

In modern day warfare, reconnaissance operations such as automatic target recognition(ATR) using unmanned aerial vehicles(UAVs) constitute a strategic war tactic. 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. These challenges can be addressed using a distributed system for performing ATR. In this paper, we describe a multi-agent system called COMSTAR-UAV (Cooperative Multi-agent System for automatic TArget Recognition using Unmanned Aerial Vehicles) that uses swarming techniques inspired from insect colonies to perform ATR in a distributed manner.

Original languageEnglish (US)
Title of host publicationProceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
Pages479-481
Number of pages3
DOIs
StatePublished - 2006
EventFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate, Japan
Duration: May 8 2006May 12 2006

Publication series

NameProceedings of the International Conference on Autonomous Agents
Volume2006

Conference

ConferenceFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Country/TerritoryJapan
CityHakodate
Period5/8/065/12/06

Keywords

  • Collective and emergent behavior
  • Distributed automatic target recognition
  • Simulation and modeling

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Distributed automatic target recognition using multi-agent UAV swarms'. Together they form a unique fingerprint.

Cite this