Zoltán Fazekas

Introduction

Zoltán Fazekas (PhD) is a Senior Research Fellow at the Institute for Computer Science and Control (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.
• 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.
• Detection of the road environment and various traffic events by an intelligent road vehicle (2019-2021)
  • In the project, the team of Hungarian an Moroccan  researchers investigated what an unconnec­ted, non-navigated intelligent car can achieve on its own ‒ i.e., in a non-cooperative, standalone fashion ‒ relying solely on its own sensors. 

Publication databases

• The Hungarian Scientific Bibliography