Paper
15 September 2004 Decentralized sensing and tracking for UAV scheduling
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Abstract
This paper presents a fully automated and decentralized surveillance system for the problem of detecting and possibly tracking mobile unknown ground vehicles in a bounded area. The system consists ideally of unmanned aerial vehicles (UAVs) and unattended fixed sensors 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. We assume that both UAVs and sensors have similar computing and sensing capabilities and differ only in their mobility (sensors are stationary while UAVs are mobile). Gathered information is reported to a base station (monitor) that computes an estimate of the global state of the system and quantifies the quality of the surveillance based on a measure of the uncertainty on the number and position of the targets overtime. The present solution has been achieved through a robotic implementation of a software simulation that was in turn realized under the principles of a novel top-down methodology for the design of provably performant agent-based control systems. In this paper we provide a description of our solution including the distributed algorithms that have been employed in the control of the UAV navigation and monitoring. Finally we show the results of an novel experimental performance analysis of our surveillance system.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Valentine Crespi, Wayne W. Chung, and Alex B. Jordan "Decentralized sensing and tracking for UAV scheduling", Proc. SPIE 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III, (15 September 2004); https://doi.org/10.1117/12.548169
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Unmanned aerial vehicles

Sensors

Telecommunications

Control systems design

Homeland security

Surveillance systems

C3I

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