L
Lyudmila Mihaylova
Researcher at University of Sheffield
Publications - 328
Citations - 5075
Lyudmila Mihaylova is an academic researcher from University of Sheffield. The author has contributed to research in topics: Particle filter & Monte Carlo method. The author has an hindex of 33, co-authored 299 publications receiving 4063 citations. Previous affiliations of Lyudmila Mihaylova include University of Bristol & Ghent University.
Papers
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Overview of Environment Perception for Intelligent Vehicles
TL;DR: The state-of-the-art algorithms and modeling methods for intelligent vehicles are given, with a summary of their pros and cons.
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Brief paper: Freeway traffic estimation within particle filtering framework
TL;DR: The problem of real-time estimation of traffic state in freeway networks by means of the particle filtering framework, developed based on a recently proposed speed-extended cell-transmission model of freeway traffic, is formulates.
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Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking
TL;DR: This work presents the current state-of-the-art in techniques for tracking a number of objects moving in a coordinated and interacting fashion, including Markov Chain Monte Carlo methods, the random matrices approach and Random Finite Set Statistics methods.
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Sequential Monte Carlo tracking by fusing multiple cues in video sequences
TL;DR: It is shown that tracking with multiple weighted cues provides more reliable performance than single cue tracking.
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A compositional stochastic model for real time freeway traffic simulation
René Boel,Lyudmila Mihaylova +1 more
TL;DR: A stochastic model of freeway traffic at a time scale and of a level of detail suitable for on-line estimation, routing and ramp metering control is presented.