Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation

التفاصيل البيبلوغرافية
العنوان: Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation
المؤلفون: Herrmann, Martin, Luchterhand, Tim, Herrmann, Charlotte, Wodtko, Thomas, Strohbeck, Jan, Buchholz, Michael
بيانات النشر: Universität Ulm
سنة النشر: 2022
المجموعة: OPARU (OPen Access Repository of Ulm University)
مصطلحات موضوعية: Random Finite Sets, Multi-Sensor Multi-Object Tracking, Bayes Filtering, Snoezelen, Bayesian statistical decision theory, Bayes-Verfahren
الوصف: We previously presented the product multi-sensor generalized labeled multi-Bernoulli filter, which constitutes a multi-object filter for centralized and distributed multi-sensor systems with centralized estimator. It implements the Bayes parallel combination rule for generalized labeled multi-Bernoulli densities, simplifying the NP-hard multidimensional k-best assignment problem of the multi-sensor multi-object update to a polynomial-time k-shortest path problem. This way, the filter allows for efficient, parallelizable, and distributed calculation of the multi-sensor multi-object update, while showing excellent performance. However, the derivation of the filter formulas relies on a well-established approximation of the fundamental multi-sensor Gaussian identity, which was inadvertently not labeled as such in our original article. Thus, on the one hand, we clarify this mistake, discuss its consequences, and present a mathematically clean derivation of the filter yet to establish the claim of Bayes-optimality. On the other hand, we discuss implementation details and present extensive evaluations, that complete the previous publication of the filter.
نوع الوثيقة: conference object
وصف الملف: application/pdf
اللغة: English
Relation: https://doi.org/10.23919/FUSION49751.2022.9841275
DOI: 10.18725/OPARU-45966
الاتاحة: https://doi.org/10.18725/OPARU-45966
http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-46042-7
Rights: https://oparu.uni-ulm.de/xmlui/licenseA_v1
رقم الانضمام: edsbas.6E5E08F8
قاعدة البيانات: BASE
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