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• W1424291775 abstract "A new sensor-selection solution within a multi-Bernoulli-based multi-target tracking framework is presented. The proposed method is especially designed for the general multi-target tracking case with no prior knowledge of the clutter distribution or the probability of detection, and uses a new task-driven objective function for this purpose. Step-by-step sequential Monte Carlo implementation of the method is presented along with a similar sensor-selection solution formulated using an information-driven objective function (Rényi divergence). The two solutions are compared in a challenging scenario and the results show that while both methods perform similarly in terms of accuracy of cardinality and state estimates, the task-driven sensor-selection method is substantially faster." @default.
• W1424291775 created "2016-06-24" @default.
• W1424291775 creator A5050176259 @default.
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• W1424291775 date "2016-02-01" @default.
• W1424291775 modified "2023-10-14" @default.
• W1424291775 title "Multi-Bernoulli sensor-selection for multi-target tracking with unknown clutter and detection profiles" @default.
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• W1424291775 doi "https://doi.org/10.1016/j.sigpro.2015.07.007" @default.
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