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• W4313306858 abstract "This paper proposes a new sensor control algorithm for multi-target tracking applications within distributed sensor networks. In multi-target tracking applications, most sensor control algorithms are designed for centralized sensor networks, where there is a central processing node that is computationally inefficient. This paper first provides a conceptual and mathematical overview of the multi-sensor multi-target tracking framework, using random finite set (RFS) filters and sensor fusion. We will also provide an overview of the existing sensor control methods. We then explore coordinate descent-based sensor control and introduce a fully distributed algorithm utilizing coordinate descent and an information-theoretic objective function. This method is tested on synthetic data and compared to alternative methods. The results show that the proposed method outperforms equivalent independent multi-sensor control methods." @default.
• W4313306858 created "2023-01-06" @default.
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• W4313306858 date "2022-11-21" @default.
• W4313306858 modified "2023-10-14" @default.
• W4313306858 title "Distributed Multi-Sensor Control for Multi-Target Tracking" @default.
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• W4313306858 doi "https://doi.org/10.1109/iccais56082.2022.9990364" @default.
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