The Systems and Control Lab (SCL) is the leading research entity in the field of control and mathematical systems sciences in Hungary. The scope of research involves advanced methods of systems modeling and control, analysis and synthesis of dynamical systems created by traditional and emerging technologies. Systems identification, detection and filtering, signal and image processing are parts of the research with special emphasis on operational robustness, safety and security of the solutions.
Publication date
2017
In: Proceedings of the International Scientific Conference Modern Safety Technologies in Transportation, MOSATT 2017 Proceedings of International Scientific Conference Modern Safety Technologies in Transportation (7) Technical University of Kosice, Košice, pp. 42-49.
Identifying the Urban Road Environment Type From Traffic Sign Data Using an Artificial Neural Network
In: Robust vision for industrial applications 1999. 23rd workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR). Steyr, 1999. (Schriftenreihe der Österreichischen Computer Gesellschaft, 128.).
A simple and efficient algorithm for detection of high curvature points in planar curves