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Proceedings Paper

Insect vision based collision avoidance system for Remotely Piloted Aircraft
Author(s): Holger Jaenisch; James Handley; Andrew Bevilacqua
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Paper Abstract

Remotely Piloted Aircraft (RPA) are designed to operate in many of the same areas as manned aircraft; however, the limited instantaneous field of regard (FOR) that RPA pilots have limits their ability to react quickly to nearby objects. This increases the danger of mid-air collisions and limits the ability of RPA's to operate in environments such as terminals or other high-traffic environments. We present an approach based on insect vision that increases awareness while keeping size, weight, and power consumption at a minimum. Insect eyes are not designed to gather the same level of information that human eyes do. We present a novel Data Model and dynamically updated look-up-table approach to interpret non-imaging direction sensing only detectors observing a higher resolution video image of the aerial field of regard. Our technique is a composite hybrid method combining a small cluster of low resolution cameras multiplexed into a single composite air picture which is re-imaged by an insect eye to provide real-time scene understanding and collision avoidance cues. We provide smart camera application examples from parachute deployment testing and micro unmanned aerial vehicle (UAV) full motion video (FMV).

Paper Details

Date Published: 3 May 2012
PDF: 16 pages
Proc. SPIE 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI, 840209 (3 May 2012); doi: 10.1117/12.914799
Show Author Affiliations
Holger Jaenisch, Johns Hopkins Univ. (United States)
Licht Strahl Engineering INC (United States)
James Handley, Licht Strahl Engineering INC (United States)
Andrew Bevilacqua, Bevilacqua Research Corp. (United States)


Published in SPIE Proceedings Vol. 8402:
Evolutionary and Bio-Inspired Computation: Theory and Applications VI
Olga Mendoza-Schrock; Mateen M. Rizki; Todd V. Rovito, Editor(s)

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