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Proceedings Paper

Implementation of a sensor guided flight algorithm for target tracking by small UAS
Author(s): Gaemus E. Collins; Chris Stankevitz; Jeffrey Liese
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Paper Abstract

Small xed-wing UAS (SUAS) such as Raven and Unicorn have limited power, speed, and maneuverability. Their missions can be dramatically hindered by environmental conditions (wind, terrain), obstructions (buildings, trees) blocking clear line of sight to a target, and/or sensor hardware limitations (xed stare, limited gimbal motion, lack of zoom). Toyon's Sensor Guided Flight (SGF) algorithm was designed to account for SUAS hardware shortcomings and enable long-term tracking of maneuvering targets by maintaining persistent eyes-on-target. SGF was successfully tested in simulation with high-delity UAS, sensor, and environment models, but real- world ight testing with 60 Unicorn UAS revealed surprising second order challenges that were not highlighted by the simulations. This paper describes the SGF algorithm, our rst round simulation results, our second order discoveries from ight testing, and subsequent improvements that were made to the algorithm.

Paper Details

Date Published: 3 June 2011
PDF: 14 pages
Proc. SPIE 8047, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR II, 80470Q (3 June 2011); doi: 10.1117/12.884314
Show Author Affiliations
Gaemus E. Collins, Toyon Research Corp. (United States)
Chris Stankevitz, Toyon Research Corp. (United States)
Jeffrey Liese, California Polytechnic State Univ., San Luis Obispo (United States)

Published in SPIE Proceedings Vol. 8047:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR II
Michael A. Kolodny; Tien Pham; Kevin L. Priddy, Editor(s)

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