Results 31 to 40 of about 355 (164)
IET Radar, Sonar &Navigation, Volume 17, Issue 5, Page 845-858, May 2023., 2023 The proposed implementation of the multi‐sensor multi‐target tracking filter is composed of two parts including centralised fusion for distributed sensors and centralised tracking using belief propagation algorithm. The local posteriors are centrally fused to obtain the global filtering density using information matrix fusion method.
Chenghu Cao, Yongbo Zhao
wiley +1 more source
IET Radar, Sonar &Navigation, Volume 17, Issue 3, Page 435-448, March 2023., 2023 The inverse wishart and Student‐t mixture is used to approximate the joint posterior distribution of process noise covariance and measurement noise covariance together with multi‐target state, and the multi‐target state and noise parameters are jointly estimated by minimising the KLD. Abstract Conventional δ‐generalised labelled multi‐Bernoulli filter (
Peng Gu, Zhongliang Jing, Liangbin Wu
wiley +1 more source
Multitarget Tracking Using One Time Step Lagged Delta-Generalized Labeled Multi-Bernoulli Smoothing
IEEE Access, 2020 Aiming at improving the tracking performance of the delta-generalized labeled multi-Bernoulli (δ-GLMB) filter, we present a one time step lagged δ-GLMB smoother in this work, which also inherently outputs targets trajectories and differs ...
Guolong Liang +3 more
doaj +1 more source
Robust adaptive multi‐target tracking with unknown heavy‐tailed noise
IET Signal Processing, Volume 17, Issue 2, February 2023., 2023 A robust adaptive generalised labelled multi‐Bernoulli (RAGLMB) framework is derived to recursively propagate the joint posterior density of noise covariance and target state. The proposed RAGLMB filter is robust to targets affected by non‐Gaussian heavy‐tailed process noise and measurement noise.
Peng Gu, Zhongliang Jing, Liangbin Wu
wiley +1 more source
Bayes‐optimal tracking of two statistically correlated targets in general clutter
IET Signal Processing, Volume 16, Issue 9, Page 1034-1049, December 2022., 2022 Abstract The Bernoulli filter is a very general, computationally feasible Bayes‐optimal approach for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a known, general point‐clutter process. This paper shows how to generalise it to the dyadic labelled random finite set
Ronald Mahler
wiley +1 more source
Frontiers in Physics, 2023 The direction-of-arrival (DOA) tracking of underwater targets is an important research topic in sonar signal processing. Considering that the underwater DOA tracking is a typical multi-target problem under unknown underwater environment with missing ...
Boxuan Zhang +9 more
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Human Pituitary Organoids: Transcriptional Landscape Deciphered by scRNA-Seq and Stereo-Seq, with Insights into SOX3's Role in Pituitary Development. [PDF]
Adv Sci (Weinh)An optimized protocol is developed to differentiate human iPSCs into pituitary organoids and the cellular composition, intercellular interactions, and spatial organization within pituitary organoids are characterized via scRNA‐seq and Stereo‐seq.
Wang S +8 more
europepmc +2 more sources
Multitarget Tracking Using Distributed Radar with Partially Overlapping Fields of Views
Leida xuebao, 2022 The Fields of Views (FoVs) of radars in a distributed network partially overlap due to detecting capability, waveform design, and antenna orientation constraints, resulting in observed discrepancies between radars and a significant obstacle to future ...
Kai DA, Ye YANG, Yongfeng ZHU, Qiang FU
doaj +1 more source
Extended Target Tracking Algorithm Based on Random Hypersurface Model with Glint Noise
Chemical Engineering Transactions, 2017 Due to the fact that the unmatching of extended targets’ measurements noise is also assumed as Gaussian distribution and conventional algorithm cannot estimate target’s extent under the circumstance of unknown measurement noise covariance, a new multiple
Yawen Li
doaj +1 more source
On the “spooky action at a distance” in the CPHD filter
Communications Faculty Of Science University of Ankara, 2015 Using the pair correlation function, spooky interaction between distant targets in the cardinalized probability hypothesis density (CPHD) filter is investigated. It is shown that the spooky interaction between distant targets in the CPHD filter is a direct result of its independent identically distributed cluster process (IIDCP) target model.
BOZDOĞAN ALİ, Önder, EFE, Murat
openaire +2 more sources