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A review of resampling techniques in particle filtering framework
C Kuptametee, N Aunsri - Measurement, 2022 - Elsevier
A particle filtering (PF) is a sequential Bayesian filtering method suitable for non-linear non-
Gaussian systems, which is widely used to estimate the states of parameters of interest that …
Gaussian systems, which is widely used to estimate the states of parameters of interest that …
Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches
During the last two decades there has been a growing interest in Particle Filtering (PF).
However, PF suffers from two long-standing problems that are referred to as sample …
However, PF suffers from two long-standing problems that are referred to as sample …
Extended object tracking: Introduction, overview and applications
K Granstrom, M Baum, S Reuter - ar**.github.io/assets/docs/Tracking/overview.pdf" data-clk="hl=bg&sa=T&oi=gga&ct=gga&cd=3&d=7555673428142175299&ei=1DrDZ9-yKtq16rQPjs6rqQ8" data-clk-atid="Q7RFg_Mk22gJ" target="_blank">[PDF] github.io
[PDF][PDF] Multitarget tracking
Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets
and their states or trajectories from noisy sensor measurements. MTT has a long history …
and their states or trajectories from noisy sensor measurements. MTT has a long history …
[HTML][HTML] A survey of recent advances in particle filters and remaining challenges for multitarget tracking
X Wang, T Li, S Sun, JM Corchado - Sensors, 2017 - mdpi.com
We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …
the last decade in the context of target tracking, with regard to either a single target or …
Tracking the orientation and axes lengths of an elliptical extended object
Extended object tracking considers the simultaneous estimation of the kinematic state and
the shape parameters of a moving object based on a varying number of noisy detections …
the shape parameters of a moving object based on a varying number of noisy detections …
[HTML][HTML] Integrated design of transport infrastructure and public spaces considering human behavior: A review of state-of-the-art methods and tools
In order to achieve holistic urban plans incorporating transport infrastructure, public space
and the behavior of people in these spaces, integration of urban design and computer …
and the behavior of people in these spaces, integration of urban design and computer …
Extended Kalman filter for extended object tracking
In this work, we present a novel method for tracking an elliptical shape approximation of an
extended object based on a varying number of spatially distributed measurements. For this …
extended object based on a varying number of spatially distributed measurements. For this …
Multiple extended object tracking using Gaussian processes
T Hirscher, A Scheel, S Reuter… - 2016 19th International …, 2016 - ieeexplore.ieee.org
The goal of multi-object tracking is to estimate the number of objects and their states
recursively over time. In the presence of extended objects, ie objects with an extent that is …
recursively over time. In the presence of extended objects, ie objects with an extent that is …
A learning Gaussian process approach for maneuvering target tracking and smoothing
W Aftab, L Mihaylova - IEEE Transactions on Aerospace and …, 2020 - ieeexplore.ieee.org
Model-based approaches for target tracking and smoothing estimate the infinite number of
possible target trajectories using a finite set of models. This article proposes a data-driven …
possible target trajectories using a finite set of models. This article proposes a data-driven …