Zoltán Fazekas
Introduction
Zoltán Fazekas (PhD) is a Senior Research Fellow at the Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI), Budapest, Hungary. He is with the Systems and Control Lab of the Institute.
He graduated as an Electrical Engineer at the Technical University of Budapest in 1982. Then, he obtained his Postgraduate Engineering Diploma in Instrumentation and Control from the same university. He worked at the Research Institute for Measurement and Computing Techniques, Budapest, Hungary. He obtained his PhD in 1998.
Between 1997 and 2003, he lectured Computer Science subjects at the University of Witwatersrand, Johannesburg, South Africa and then at the Universiy of Westminster, London, UK.
His research interests include application of computer vision and artificial intelligence methods in intelligent vehicles, particularly in the detection of the vehicle's environment. He is also interested in medical applications of computer vision.
Positions
- Senior Research Fellow
Degrees
- MSc in Electrical Engineering, Technical University of Budapest, Budapest, Hungary 1982.
- Postgrad. Diploma in Electrical Engineering, Technical University of Budapest, Budapest, Hungary, 1984.
- Candidate of Technical Science (CSc & PhD), Hungarian Academy of Sciences, Budapest, Hungary, 1998.
Research Areas
- Algorithms of Computer Vision
- Measurements using Computer Vision techniques
- Medical, industrial and transport application of Computer Vision
- Environment detection for intelligent vehicles
Memberships, Assignments
- Member of the IEEE
- Member of the John von Neumann Computer Society (NJSZT)
- Member of the NJSZT Hungarian Association for Image Processing and Pattern Recognition
Educational Activity
- He lectured Computer Science subjects at the University of Witwatersrand, Johannesburg, South Africa between 1997 and 2000 and at Universiy of Westminster, London, UK between 2001 and 2003.
Selected projects
- Knowledge Center for Electronic Vehicles and Vehicle Control (2005-2008)
- In the frame of its "Autonomous Vehicle Control Systems" project, a wide-baseline stereo camera-based lane detection and tracking software for cars was developed, implemented and tested.
- TRUCKDAS (2009-2011)
- Among other research activities, the statistical analysis of vehicular emergencies, e.g., forceful braking events were carried out. These events were analysed for a fleet of trucks from the data collected from the on-board vehicular safety systems.
- Among other research activities, the statistical analysis of vehicular emergencies, e.g., forceful braking events were carried out. These events were analysed for a fleet of trucks from the data collected from the on-board vehicular safety systems.
- MTA SZTAKI - Bosch R&D Project "Ernyő" (2014-2016)
- In the project, he led the SZTAKI-team dealing with the validation of on-board traffic sign recognition (TSR) systems.
Publication databases
Important publications
Road-Type Detection Based on Traffic Sign and Lane Data
Publication date2022Using Formal Concept Analysis Tools in Road Environment-Type Detection
Publication date2021Building upon Modularity in Artificial Neural Networks
Publication date2019A Heuristic Approach to Road Environment-type Detection from Traffic Sign Data
Publication date2019