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Proceedings Paper

Optimal path planning for video-guided smart munitions via multitarget tracking
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Paper Abstract

An advent in the development of smart munitions entails autonomously modifying target selection during flight in order to maximize the value of the target being destroyed. A unique guidance law can be constructed that exploits both attribute and kinematic data obtained from an onboard video sensor. An optimal path planning algorithm has been developed with the goals of obstacle avoidance and maximizing the value of the target impacted by the munition. Target identification and classification provides a basis for target value which is used in conjunction with multi-target tracks to determine an optimal waypoint for the munition. A dynamically feasible trajectory is computed to provide constraints on the waypoint selection. Results demonstrate the ability of the autonomous system to avoid moving obstacles and revise target selection in flight.

Paper Details

Date Published: 19 May 2006
PDF: 10 pages
Proc. SPIE 6236, Signal and Data Processing of Small Targets 2006, 62360N (19 May 2006); doi: 10.1117/12.663942
Show Author Affiliations
Jeffrey M. Borkowski, Air Force Institute of Technology (United States)
Juan R. Vasquez, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6236:
Signal and Data Processing of Small Targets 2006
Oliver E. Drummond, Editor(s)

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