Insect vision based collision avoidance system for Remotely Piloted Aircraft

Holger Jaenisch; James Handley; Andrew Bevilacqua

doi:10.1117/12.914799

3 May 2012 Insect vision based collision avoidance system for Remotely Piloted Aircraft

Holger Jaenisch, James Handley, Andrew Bevilacqua

Proceedings Volume 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI; 840209 (2012) https://doi.org/10.1117/12.914799
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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).

Citation Download Citation

Holger Jaenisch, James Handley, and Andrew Bevilacqua "Insect vision based collision avoidance system for Remotely Piloted Aircraft", Proc. SPIE 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI, 840209 (3 May 2012); https://doi.org/10.1117/12.914799

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