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Kardkovacs Z.T.,U1 Research Ltd. | Paroczi Z.,U1 Research Ltd. | Varga E.,U1 Research Ltd. | Siegler A.,Top Map Pic. | Lucz P.,Top Map Pic.
2011 2nd International Conference on Cognitive Infocommunications, CogInfoCom 2011 | Year: 2011

Traffic sign recognition (TSR) is one of the most important background research topics for enabling autonomous vehicle driving systems. Autonomous driving systems require special handling of input data: there is no time for complex transformations or sophisticated image processing techniques, they need a solid and real-time analysis of a situation. This challenge get more difficult to meetin a city like environment where multiple traffic signs, ads, parking vehicles, pedestrians, and other moving or background objects make the recognition much more difficult. While numerous solutions have been published, solutions are tested on autoways, country-side, or at a very low speed. In this paper, we give a short overview on main problems and known strategies to solve these problems, and we give a general solution to tackle real-time issues in urban traffic sign recognition. © 2011 Scientific Assoc Infocomm.


Paroczi Z.,U1 Research Ltd. | Nagy I.,Budapest University of Technology and Economics | Gaspar-Papanek C.,Budapest University of Technology and Economics | Kardkovacs Z.T.,U1 Research Ltd. | And 3 more authors.
Journal of Advanced Computational Intelligence and Intelligent Informatics | Year: 2012

Augmented Reality (AR) is a technique that combines a live view in real-time with virtual computergenerated images, creating a real-time augmented experience of reality. In this paper we define connection between augmented reality and cognitive infocommunications and show a demonstration system for driver support which combines raw sensory with extracted visual data to provide extended information about the visual scene around the car. Traffic sign recognition system presented in this paper is an independent work of U1 Research and Top-Map Plc.


Soveny B.,U1 Research Ltd. | Kovacs G.,U1 Research Ltd. | Kardkovacs Z.T.,U1 Research Ltd.
5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014 - Proceedings | Year: 2014

In this paper, we present a design of a wearable equipment that helps with the perception of the environment for blind and visually impaired people in indoor and outdoor mobility and navigation. Our prototype can detect and identify traffic situations such as street crossings, traffic lamps, cars, cyclists, other people and low and high obstacles. The detection takes place in real time based on input data of sensors and optical cameras, the mobility of the user is aided with audio signals. © 2014 IEEE.

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