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Proceedings Paper

Distributed sensing and UAV scheduling for surveillance and tracking of unidentifiable targets
Author(s): Wayne Chung; Valentino Crespi; George Cybenko; Alex Jordan
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Paper Abstract

This paper presents an automated decentralized surveillance system for the problem of tracking multiple mobile ground targets with no signature in a bounded area. The system consists of unmanned aerial vehicles (UAVs) and unattended fixed ground sensors (UGSs) with limited communication and detection range that are deployed in the area of interest. Each component of the system (UAV and/or Sensor) is completely autonomous and programmed to scan the area searching for targets and share its knowledge with other components within communication range. UAV scheduling of the areas to search is stochastic and the characterizing probability distributions are determined through hypotheses of consistent tracks of target observations. Such hypotheses are formulated by a client subsystem called Process Query System, which is queried with streams of incoming observations of targets and stochastic models of their kinematics. The purpose of this work is also to provide a quantitative measure of the situational awareness of the monitoring system in relation to the accuracy of the target models and the degree of decentralization of the control.

Paper Details

Date Published: 20 May 2005
PDF: 10 pages
Proc. SPIE 5778, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IV, (20 May 2005); doi: 10.1117/12.607218
Show Author Affiliations
Wayne Chung, Dartmouth College (United States)
Valentino Crespi, California State Univ./Los Angeles (United States)
George Cybenko, Dartmouth College (United States)
Alex Jordan, Dartmouth College (United States)


Published in SPIE Proceedings Vol. 5778:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IV
Edward M. Carapezza, Editor(s)

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