Results 31 to 40 of about 513,541 (222)
The Product Multi-Sensor Labeled Multi-Bernoulli Filter
2023 26th International Conference on Information Fusion (FUSION), 2023 The main challenge in random finite set-based multi-sensor multi-object tracking is the NP-hard association of the sensor measurements with the tracks.
Martin Herrmann +3 more
openaire +4 more sources
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
doaj
Interaction-Aware Labeled Multi-Bernoulli Filter
IEEE Transactions on Intelligent Transportation Systems, 2023 13 pages including references, 9 figures, submitted and undergoing second round of review with IEEE Transactions on Intelligent Transportation Systems (ITS)
Nida Ishtiaq +3 more
openaire +3 more sources
Bernoulli Race Particle Filters
, 2019 19 ...
Schmon, S, Deligiannidis, G, Doucet, A
openaire +4 more sources
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
doaj +1 more source
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
doaj +1 more source
IMM Bernoulli Gaussian Particle Filter
IFAC-PapersOnLine, 2018 Abstract The Bernoulli filter (BF) in the interacting multiple model (IMM) framework is proposed for detecting and tracking a maneuvering target. The BF is implemented as a particle filter and embedded in the IMM structure. The communication between the IMM and the BF is achieved through a Gaussian layer.
Olivér Töro +3 more
openaire +2 more sources
IEEE Access, 2019 In surveillance applications, the extent states and measurements of extended targets received by sensors are time-varying. In this paper, we propose a joint tracking and classification (JTC) method for single extended target under the presence of clutter
Liping Wang +3 more
doaj +1 more source
Journal of Marine Science and Engineering, 2023 A proper filtering method for jump Markov system (JMS) is an effective approach for tracking a maneuvering target. Since the coexisting of heavy-tailed measurement noises (HTMNs) and one-step random measurement delay (OSRMD) in the complex scenarios of ...
Chen Chen, Weidong Zhou, Lina Gao
doaj +1 more source
Entropy, 2021 In this paper, a new variational Bayesian-based Kalman filter (KF) is presented to solve the filtering problem for a linear system with unknown time-varying measurement loss probability (UTVMLP) and non-stationary heavy-tailed measurement noise (NSHTMN).
Chenghao Shan +3 more
doaj +1 more source