Possibility Generalized Labeled Multi-Bernoulli Filter for Multitarget Tracking Under Epistemic Uncertainty
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3200022
Abstract: This article presents a flexible modeling framework for multitarget tracking based on the theory of outer probability measures. The notion of labeled uncertain finite set is introduced and utilized as the basis to derive a… read more here.
Keywords: multitarget; labeled multi; uncertainty; multitarget tracking ... See more keywords
Distributed Implementation of the Centralized Generalized Labeled Multi-Bernoulli Filter
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3107632
Abstract: Distributed scenarios pose a big challenge to tracking and fusion systems. They require the prevention of repeatedly incorporating the same information, which originates from ring closures in the communication path and would affect optimality. Additionally,… read more here.
Keywords: multi; generalized labeled; labeled multi; multi sensor ... See more keywords
Linear Complexity Gibbs Sampling for Generalized Labeled Multi-Bernoulli Filtering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3277220
Abstract: Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of multi-object system applications analogous to Gaussians in single-object filtering. However, computing the GLMB filtering density requires solving NP-hard problems. To alleviate this computational bottleneck, we… read more here.
Keywords: labeled multi; multi bernoulli; generalized labeled; gibbs ... See more keywords