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| Publications [#354186] of Silvia Ferrari
Papers Published
- Legrand, K; Ferrari, S, The role of bounded fields-of-view and negative information in finite set statistics (FISST),
Proceedings of 2020 23rd International Conference on Information Fusion, Fusion 2020
(July, 2020), ISBN 9780578647098 [doi]
(last updated on 2021/09/05)
Abstract: The role of negative information is particularly important to search-detect-track problems in which the number of objects is unknown a priori, and the size of the sensor field-of-view is far smaller than that of the region of interest. This paper presents an approach for systematically incorporating knowledge of the field-of-view geometry and position and object inclusion/exclusion evidence into object state densities and random finite set multi-object cardinality distributions. The approach is derived for a representative set of multi-object distributions and demonstrated through a sensor planning problem involving a multi-Bernoulli process with up to one-hundred potential targets.
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