Results 101 to 110 of about 3,081,373 (191)
Accurate multi-target filtering is crucial for low-altitude surveillance, where point and group targets often coexist. Poisson multi-Bernoulli mixture (PMBM) filters provide a unified Bayesian framework for the joint filtering of point and group targets ...
Jichuan Zhang +4 more
doaj +1 more source
A Robust Trajectory Multi-Bernoulli Filter for Superpositional Sensors
This paper proposes a trajectory multi-Bernoulli filter applied to the superpositional sensor model for multi-target tracking in the presence of unknown measurement noise.
Xiaodong Wang +5 more
core +1 more source
Distributed Poisson Multi-Bernoulli Filtering via Generalized Covariance Intersection
Matlab code with the distributed GCI-PMB and GCI-PMBM filters is provided at https://github.com/Agarciafernandez ...
Ángel F. García-Fernández +1 more
openaire +4 more sources
Poisson multi-Bernoulli filter for extended object tracking
This paper presents a track-oriented Poisson multi-Bernoulli (PMB) filter for extended objects. The PMB filter is based on the Poisson multi-Bernoulli mixture (PMBM) conjugate prior and approximates the posterior PMBM by merging tracks across data ...
Svensson, Lennart +3 more
core +1 more source
An Efficient Implementation of the Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter
In Random Finite Set based multi-sensor multi-object tracking, the NP-hard measurement-to-track assignment problem is a key challenge. One approach to address this challenge involves executing computationally simpler single-sensor updates based on a ...
Scheible, Alexander +3 more
core +1 more source
A forward-backward smoothing algorithm for extended object tracking based on the PMBM filter
This paper introduces an advanced extended object tracking algorithm developed within the random finite sets (RFS) framework, utilizing a Poisson multi-Bernoulli mixture (PMBM) filter with forward-backward smoothing capabilities.
Xingxiang Xie +3 more
doaj +1 more source
Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator [PDF]
This dissertation concerns with the formulation of an improved multi-target multi-Bernoulli (MeMBer) filter and the use of the joint multi-target (JoM) estimator in an effective and efficient manner for a specific implementation of MeMBer filters.
Baser, Erkan
core
Adaptive Target Birth Intensity Multi-Bernoulli Filter with Noise-Based Threshold. [PDF]
Hu X, Ji H, Liu L.
europepmc +1 more source
Information Fusion for Industrial Mobile Platform Safety via Track-Before-Detect Labeled Multi-Bernoulli Filter. [PDF]
Rathnayake T +4 more
europepmc +1 more source
[Joh. Bernoulli]TitelvignetteKeine weiteren Bände erschienen?Urheberangabe am Schluss des Vorberichts: Joh ...
Bernoulli, Johann
core +1 more source

