24 May 2012 A decentralized approach for multi-UAV multitarget tracking and surveillance
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In this paper, we consider the problem of cooperative multitarget tracking and surveillance with multiple UAVs in a decentralized network architecture. In sensor fusion, we developed a decentralized particle ltering approach to maintain target location estimates. Sample sets are converted to Gaussian Mixtures using expectation maximiza- tion, and communicated between agents using a request/response strategy. Upon receiving Gaussian Mixtures from other agents, each UAV fuses them into its own estimates using generalized covariance intersection. In decision making, we decoupled the problem into two abstraction levels. At the higher level, leaders are selected for each subnetwork. Each leader, then, assigns operating regions to other agents within its subnetwork. At the lower level, individual agents plan their own motions to actively track targets within their assigned regions. Our approach is evaluated in a number of simulation runs. The results demonstrate the eectiveness of our decentralized approach.
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Emrah Adamey, Emrah Adamey, Umit Ozguner, Umit Ozguner, } "A decentralized approach for multi-UAV multitarget tracking and surveillance", Proc. SPIE 8389, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III, 838915 (24 May 2012); doi: 10.1117/12.918975; https://doi.org/10.1117/12.918975

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