Results 41 to 50 of about 3,081,373 (191)
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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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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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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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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Journal of Applied Mathematics, 2013 By integrating the cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter with the interacting multiple models (IMM) algorithm, an MM-CBMeMBer filter is proposed in this paper for tracking multiple maneuvering targets in clutter.
Xianghui Yuan, Feng Lian, Chongzhao Han
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A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets
CoRR, 2016 A multiple maneuvering target system can be viewed as a Jump Markov System (JMS) in the sense that the target movement can be modeled using different motion models where the transition between the motion models by a particular target follows a Markov chain probability rule.
Yuthika Punchihewa +2 more
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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
doaj
Investigation on tunnel stability considering pipe‐roof support with transparent soil technology
Deep Underground Science and Engineering, EarlyView.This study integrates transparent soil technology, 3D reconstruction and numerical simulation to captures the full‐field deformation of shield tunnel instability. Results demonstrate that pipe‐roof support enhances stability via the “soil‐arching barrier effect,” effectively restraining failure wedge development by extending stress transfer paths ...
Zhi Jia +4 more
wiley +1 more source