Results 31 to 40 of about 3,081,373 (191)
Robust multi-sensor generalized labeled multi-Bernoulli filter [PDF]
Signal Processing, 2022 This paper proposes an efficient and robust algorithm to estimate target trajectories with unknown target detection profiles and clutter rates using measurements from multiple sensors. In particular, we propose to combine the multi-sensor Generalized Labeled Multi-Bernoulli (MS-GLMB) filter to estimate target trajectories and robust Cardinalized ...
Cong-Thanh Do +2 more
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IEEE Access, 2018 The cardinality-balanced multi-target multi-Bernoulli (CBMeMBer) filter is a promising solution for multi-target tracking. However, the performance of the CBMeMBer filter will be degraded severely by outliers in the presence of heavy-tailed process noise
Mingjie Wang +3 more
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Journal of Marine Science and Engineering, 2023 This paper proposes a centralized MTT method based on a state-of-the-art multi-sensor labeled multi-Bernoulli (LMB) filter in underwater multi-static networks with autonomous underwater vehicles (AUVs). The LMB filter can accurately extract the number of
Yuexing Zhang +5 more
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Multi-Objective Optimization Based Multi-Bernoulli Sensor Selection for Multi-Target Tracking
Sensors, 2019 This paper presents a novel multi-objective optimization based sensor selection method for multi-target tracking in sensor networks. The multi-target states are modelled as multi-Bernoulli random finite sets and the multi-Bernoulli filter is used to ...
Yun Zhu, Jun Wang, Shuang Liang
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The Adaptive Labeled Multi-Bernoulli Filter
CoRR, 2018 This paper proposes a new multi-Bernoulli filter called the Adaptive Labeled Multi-Bernoulli filter. It combines the relative strengths of the known Delta-Generalized Labeled Multi-Bernoulli and the Labeled Multi-Bernoulli filter. The proposed filter provides a more precise target tracking in critical situations, where the Labeled Multi-Bernoulli ...
Andreas Danzer +2 more
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Cardinalized balanced multi-Bernoulli filter SLAM method based on pose graph optimization
智能科学与技术学报, 2023 In the complex indoor environment, the traditional SLAM method based on random finite set theory has the problems of low robot pose accuracy and large amount of calculation.To solve these problems, a cardinalized balanced multi-Bernoulli filter SLAM ...
Zijing ZHANG, Fei ZHANG
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Exact Closed-Form Multitarget Bayes Filters
Sensors, 2019 The finite-set statistics (FISST) foundational approach to multitarget tracking and information fusion has inspired work by dozens of research groups in at least 20 nations; and FISST publications have been cited tens of thousands of times.
Ronald Mahler
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An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter [PDF]
IEEE Transactions on Signal Processing, 2017 This paper proposes an efficient implementation of the generalized labeled multi-Bernoulli (GLMB) filter by combining the prediction and update into a single step. In contrast to an earlier implementation that involves separate truncations in the prediction and update steps, the proposed implementation requires only one truncation procedure for each ...
Ba-Ngu Vo, Ba-Tuong Vo, Hung Gia Hoang
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Visual multiple‐object tracking for unknown clutter rate
IET Computer Vision, 2018 In multi‐object tracking applications, model parameter tuning is a prerequisite for reliable performance. In particular, it is difficult to know statistics of false measurements due to various sensing conditions and changes in the field of views. In this
Du Yong Kim
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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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