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Proceedings Paper

Architecture for persistent surveillance using mast and UAS-based autonomous sensing with bio-inspired technologies
Author(s): Jerry Burman
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Paper Abstract

A sophisticated real time architecture for capturing relevant battlefield information of personnel and terrestrial events from a network of mast based imaging and unmanned aerial systems (UAS) with target detection, tracking, classification and visualization is presented. Persistent surveillance of personnel and vehicles is achieved using a unique spatial and temporally invariant motion detection and tracking algorithm for mast based cameras in combination with aerial remote sensing to autonomously monitor unattended ground based sensor networks. UAS autonomous routing is achieved using bio-inspired algorithms that mimic how bacteria locate nutrients in their environment. Results include field test data, performance and lessons learned. The technology also has application to detecting and tracking low observables (manned and UAS), counter MANPADS, airport bird detection and search and rescue operations.

Paper Details

Date Published: 10 June 2014
PDF: 9 pages
Proc. SPIE 9079, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V, 90790A (10 June 2014); doi: 10.1117/12.2050421
Show Author Affiliations
Jerry Burman, Intelligent Recognition Systems (United States)

Published in SPIE Proceedings Vol. 9079:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V
Michael A. Kolodny, Editor(s)

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