Lyudmila Mihaylova
Lyudmila Mihaylova
Professor of Signal Processing and Control, University of Sheffield, UK
Verified email at - Homepage
Cited by
Cited by
Sequential Monte Carlo tracking by fusing multiple cues in video sequences
P Brasnett, L Mihaylova, D Bull, N Canagarajah
Image and vision computing 25 (8), 1217-1227, 2007
Freeway traffic estimation within particle filtering framework
L Mihaylova, R Boel, A Hegyi
Automatica 43 (2), 290-300, 2007
Overview of environment perception for intelligent vehicles
H Zhu, KV Yuen, L Mihaylova, H Leung
IEEE Transactions on Intelligent Transportation Systems 18 (10), 2584-2601, 2017
Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking
L Mihaylova, AY Carmi, F Septier, A Gning, SK Pang, S Godsill
Digital Signal Processing 25, 1-16, 2014
A comparison of decision making criteria and optimization methods for active robotic sensing
L Mihaylova, T Lefebvre, H Bruyninckx, K Gadeyne, J De Schutter
International Conference on Numerical Methods and Applications, 316-324, 2002
A compositional stochastic model for real time freeway traffic simulation
R Boel, L Mihaylova
Transportation Research Part B: Methodological 40 (4), 319-334, 2006
Mobility tracking in cellular networks using particle filtering
L Mihaylova, D Angelova, S Honary, DR Bull, CN Canagarajah, B Ristic
IEEE Transactions on Wireless Communications 6 (10), 3589-3599, 2007
Extended object tracking using Monte Carlo methods
D Angelova, L Mihaylova
IEEE Transactions on Signal Processing 56 (2), 825-832, 2008
A particle filter for freeway traffic estimation
L Mihaylova, R Boel
2004 43rd IEEE Conference on Decision and Control (CDC)(IEEE Cat. No …, 2004
Bernoulli particle/box-particle filters for detection and tracking in the presence of triple measurement uncertainty
A Gning, B Ristic, L Mihaylova
IEEE Transactions on Signal Processing 60 (5), 2138-2151, 2012
Particle Filtering Combined with Interval Methods for Tracking Applications, Ch. 2 in: Integrated tracking, Classification, and Sensor Management: theory and applications …
A. Gning, L. Mihaylova, F. Abdallah, B. Ristic
John Wiley & Sons, 2012
Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information
D Angelova, L Mihaylova
Digital Signal Processing 16 (2), 180-204, 2006
Multiple object tracking using particle filters
M Jaward, L Mihaylova, N Canagarajah, D Bull
2006 IEEE Aerospace Conference, 8 pp., 2006
Quality of service consideration for the wireless telemedicine and e-health services
A Zvikhachevskaya, G Markarian, L Mihaylova
2009 IEEE Wireless Communications and Networking Conference, 1-6, 2009
Sequential Monte Carlo methods for state and parameter estimation in abruptly changing environments
C Nemeth, P Fearnhead, L Mihaylova
IEEE Transactions on Signal Processing 62 (5), 1245-1255, 2013
Structural similarity-based object tracking in video sequences
A Loza, L Mihaylova, N Canagarajah, D Bull
2006 9th International Conference on Information Fusion, 1-6, 2006
Localization of mobile nodes in wireless networks with correlated in time measurement noise
L Mihaylova, D Angelova, D Bull, N Canagarajah
IEEE Transactions on Mobile Computing 10 (1), 44-53, 2010
An introduction to box particle filtering [lecture notes]
A Gning, B Ristic, L Mihaylova, F Abdallah
IEEE Signal Processing Magazine 30 (4), 166-171, 2013
Particle filtering with multiple cues for object tracking in video sequences
PA Brasnett, L Mihaylova, N Canagarajah, D Bull
Image and Video Communications and Processing 2005 5685, 430-441, 2005
Group object structure and state estimation with evolving networks and Monte Carlo methods
A Gning, L Mihaylova, S Maskell, SK Pang, S Godsill
IEEE Transactions on Signal Processing 59 (4), 1383-1396, 2010
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