Results 41 to 50 of about 30,144 (206)
Remote Sensing, 2022 In this paper, we propose the specific recursion formula for the generalized labeled multi-Bernoulli filter based on the track-before-detect strategy (GLMB-TBD) using a belief propagation algorithm. The proposed method aims to track multiple weak targets
Chenghu Cao, Yongbo Zhao
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EURASIP Journal on Advances in Signal Processing, 2022 Current resolvable group targets tracking algorithms can only track a small number of group targets assuming the standard deviation vectors (SDVs) are known. Based on generalized labeled multi-Bernoulli filter, this paper first proposes a serial tracking
Weifeng Liu +3 more
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IET Radar, Sonar & Navigation, 2023 Conventional δ‐generalised labelled multi‐Bernoulli filter (δ‐GLMB) cannot deal with the problem of the heavy‐tailed process noise and measurement noise.
Peng Gu, Zhongliang Jing, Liangbin Wu
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Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2022 The Poisson multi-Bernoulli mixture (PMBM) is a multi-object conjugate prior for the closed-form Bayes random finite sets filter. The extended object PMBM filter provides a closed-form solution for multiple extended object filtering with standard models.
Yuxuan Xia +5 more
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The Labeled Multi-Bernoulli Filter for Jump Markov Systems Under Glint Noise
IEEE Access, 2019 This paper proposes a novel labeled multi-Bernoulli (LMB) filter for jump Markov systems (JMS) to track the multiple maneuvering objects under glint noise.
Zong-Xiang Liu, Bing-Jian Huang
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Measurement-Driven Multi-Target Multi-Bernoulli Filter [PDF]
Mathematical Problems in Engineering, 2018 A measurement-driven multi-target multi-Bernoulli (MeMBer) filter which modifies the MeMBer filter by the measurements information is proposed in this paper. The proposed filter refines both the legacy estimates and the data-induced estimates of the MeMBer filter.
Shijie Li, Humin Lei
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Tracking multiple extended targets with multi‐Bernoulli filter [PDF]
IET Signal Processing, 2019 This study presents an improved multi‐target multi‐Bernoulli (IMeMBer) gamma Gaussian inverse Wishart (GGIW) filter for tracking multiple extended targets (ETs). The main contribution of this study consists of three parts, first, a novel method is proposed to obtain the unbiased cardinality estimation of multiple targets using the multi‐Bernoulli ...
Qi Hu, Hongbing Ji, Yongquan Zhang
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Robust PMBM Filter with Unknown Detection Probability Based on Feature Estimation
Sensors, 2022 This paper provides a solution for multi-target tracking with unknown detection probability. For the standard Poisson Multi-Bernoulli Mixture (PMBM) filter, the detection probability is generally considered a priori.
Yi Wang, Peng Rao, Xin Chen
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Box-Particle Labeled Multi-Bernoulli Filter for Multiple Extended Target Tracking [PDF]
Radioengineering, 2016 This paper focuses on real-time tracking of multiple extended targets in clutter based on labeled multi-Bernoulli filter. To address this problem, a novel approach is proposed within the recently presented box-particle framework.
M. Li, Z. Lin, W. An, Y. Zhou
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Hard‐Magnetic Soft Millirobots in Underactuated Systems
Advanced Robotics Research, EarlyView.This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source