RT Journal Article
SR Electronic
A1 Koniar, Dušan
A1 Hargaš, Libor
A1 Danko, Matúš
T1 Detection of Selected Regulatory Traffic Signs Using Common Dashboard Camera
JF Communications - Scientific Letters of the University of Zilina
YR 2025
VO 27
IS 4
SP C61
OP C69
UL https://komunikacie.uniza.sk/artkey/csl-202504-0006.php
AB Nowadays, many modern vehicles contain a lot of systems for autonomous functions or driver assistance systems (traffic sign recognition). Modern vehicles contain many embedded systems and control units (also for signal and image processing), so implementation of deep learning or AI-based algorithms is possible. In older vehicles, mentioned systems missing or they are limited. In this paper is presented a design of algorithm for detection of selected regulatory traffic signs to extend the selected autonomous or intelligent functions of older vehicles. Algorithm is based on shape and color detection of key features of selected regulatory traffic signs (amplification of specified color pixels and Generalized Hough Transformation). This algorithm can be easily implemented or used in many other applications, such as for driving mobile or robotic platforms. Detection efficiency of algorithm is also evaluated in this paper.