Results 61 to 70 of about 6,182,412 (149)
A random finite set approach for dynamic occupancy grid maps
Reliable vehicle environment perception is a basic prerequisite for advanced driver assistant systems and autonomously driving cars. A common environment representation form is an occupancy grid map.
Nuss, Dominik
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Decentralized Control of Large Collaborative Swarms using Random Finite Set Theory
IEEE Controlling large swarms of robotic agents presents many challenges including, but not limited to, computational complexity due to a large number of agents, uncertainty in the functionality of each agent in the swarm, and uncertainty in the swarm's ...
Linares, Richard, Doerr, Bryce
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A Particle Markov Chain Monte Carlo algorithm for random finite set based multi-target tracking [PDF]
© 2011 Dr. Tuyet Thi Anh VuThe multi target tracking (MTT) problem is essentially that of estimating the presence and associated time trajectories of moving objects based on measurements from a variety of sensors.
Vu, Tuyet Thi Anh
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Multitarget Tracking Algorithm Using Multiple GMPHD Filter Data Fusion for Sonar Networks
Multitarget tracking algorithms based on sonar usually run into detection uncertainty, complex channel and more clutters, which cause lower detection probability, single sonar sensors failing to measure when the target is in an acoustic shadow zone, and ...
Xueli Sheng +4 more
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Optimal Estimation and Control of Large Collaborative Swarms using Random Finite Set Theory [PDF]
University of Minnesota Ph.D. dissertation. September 2019. Major: Aerospace Engineering and Mechanics. Advisor: Richard Linares. 1 computer file (PDF); xii, 165 pages.Controlling large swarms of robotic agents presents many challenges including, but not
Doerr, Bryce
core
Underwater multi-targets tracking has always been a difficult problem in active sonar tracking systems. In order to estimate the parameters of time-varying multi-targets moving in underwater environments, based on the Bayesian filtering framework, the ...
Xiao Chen, Yaan Li, Yuxing Li, Jing Yu
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Datenfusion für Fahrerassistenzsysteme basierend auf der Random-Finite-Set-Statistik
The primary aim of Advanced Driver Assistance Systems (ADAS) is to aid in improving the safety and performance of assisted driving. This is achieved using a suite of integrated sensors to detect, identify and track targets within the environment. The map
Zhang, Feihu
core
Robust Multi-Object Tracking: A Labeled Random Finite Set Approach [PDF]
The labeled random finite set based generalized multi-Bernoulli filter is a tractable analytic solution for the multi-object tracking problem. The robustness of this filter is dependent on certain knowledge regarding the multi-object system being ...
Gardiyawasam Punchihewa, Yuthika Samanmali
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In this research, a multi-channel target speech enhancement scheme is proposed that is based on deep learning (DL) architecture and assisted by multi-source tracking using a labeled random finite set (RFS) framework.
Jayanta Datta +3 more
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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

