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Proceedings Paper

Orchestrated management of heterogeneous sensors incorporating feedback from intelligence assets
Author(s): Yugandhar Sarkale; Edwin K. P. Chong
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Paper 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.

Paper Details

Date Published: 21 May 2015
PDF: 13 pages
Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 94740A (21 May 2015); doi: 10.1117/12.2176434
Show Author Affiliations
Yugandhar Sarkale, Colorado State Univ. (United States)
Edwin K. P. Chong, Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 9474:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
Ivan Kadar, Editor(s)

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