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19 May 2006 Optimal path planning for video-guided smart munitions via multitarget tracking
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey M. Borkowski and Juan R. Vasquez "Optimal path planning for video-guided smart munitions via multitarget tracking", Proc. SPIE 6236, Signal and Data Processing of Small Targets 2006, 62360N (19 May 2006); https://doi.org/10.1117/12.663942
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