21 May 2015 Orchestrated management of heterogeneous sensors incorporating feedback from intelligence assets
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Abstract
We develop a method for autonomous management of multiple heterogeneous sensors mounted on unmanned aerial vehicles (UAVs) for multitarget tracking. The main contribution of the paper is incorporation of feedback received from intelligence assets (humans) on priorities assigned to specific targets. We formulate the problem as a partially observable Markov decision processes (POMDP) where information received from assets is captured as a penalty on the cost function. The resulting constrained optimization problem is solved using an augmented Lagrangian method. Information obtained from sensors and assets is fused centrally for guiding the UAVs to track these targets.
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Yugandhar Sarkale, Yugandhar Sarkale, Edwin K. P. Chong, Edwin K. P. Chong, } "Orchestrated management of heterogeneous sensors incorporating feedback from intelligence assets", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 94740A (21 May 2015); doi: 10.1117/12.2176434; https://doi.org/10.1117/12.2176434
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