Share This Author
A compositional stochastic model for real time freeway traffic simulation
Mobility Tracking in Cellular Networks Using Particle Filtering
- L. Mihaylova, D. Angelova, S. Honary, D. Bull, C. N. Canagarajah, B. Ristic
- Computer Science, EngineeringIEEE Transactions on Wireless Communications
- 1 October 2007
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.
Overview of Environment Perception for Intelligent Vehicles
- Hao Zhu, K. Yuen, L. Mihaylova, H. Leung
- Computer ScienceIEEE Transactions on Intelligent Transportation…
- 15 February 2017
The state-of-the-art algorithms and modeling methods for intelligent vehicles are given, with a summary of their pros and cons.
Sequential Monte Carlo tracking by fusing multiple cues in video sequences
Freeway traffic estimation within particle filtering framework
Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments
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.
Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking
Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface
- Ahmed M. Azab, L. Mihaylova, K. Ang, M. Arvaneh
- Computer ScienceIEEE Transactions on Neural Systems and…
- 17 June 2019
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.
A particle filter for freeway traffic estimation
- L. Mihaylova, R. Boel
- Computer Science43rd IEEE Conference on Decision and Control (CDC…
- 1 December 2004
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.
Contour segmentation in 2D ultrasound medical images with particle filtering
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.