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A compositional stochastic model for real time freeway traffic simulation
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Mobility Tracking in Cellular Networks Using Particle Filtering
TLDR
This paper proposes Monte Carlo techniques for mobility tracking in wireless communication networks by means of received signal strength indications that allow for accurate estimation of mobile station's position and speed.
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Overview of Environment Perception for Intelligent Vehicles
TLDR
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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Sequential Monte Carlo tracking by fusing multiple cues in video sequences
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Freeway traffic estimation within particle filtering framework
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Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments
TLDR
A novel sequential Monte Carlo approach for joint state and parameter estimation that can deal efficiently with abruptly changing parameters which is a common case when tracking maneuvering targets is developed.
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Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking
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Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface
TLDR
A new similarity measure based on the Kullback–Leibler divergence (KL) is used to measure the similarity between two feature spaces obtained using subject-specific common spatial patterns (CSP) and the results showed that the proposed weighted transfer learning classifier performed significantly better than the considered comparable baseline algorithms.
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A particle filter for freeway traffic estimation
  • L. Mihaylova, R. Boel
  • Computer Science
    43rd IEEE Conference on Decision and Control (CDC…
  • 1 December 2004
TLDR
A particle filter is developed based on a freeway traffic model with aggregated states and an observation model with Aggregated variables that provides an approximate but scalable solution to the difficult state estimation and prediction problem with limited, noisy observations.
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Contour segmentation in 2D ultrasound medical images with particle filtering
TLDR
An efficient multiple model particle filter for progressive contour growing (tracking) from a starting point is developed, accounting for convex, non-circular forms of delineated contour areas.
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