Communications - Scientific Letters of the University of Zilina 2025, 27(4):C61-C69

Detection of Selected Regulatory Traffic Signs Using Common Dashboard Camera

Du¹an Koniar ORCID...*, Libor Harga¹ ORCID..., Matú¹ Danko ORCID...
Department of Mechatronics and Electronics, Faculty of Electrical Engineering and Information Technology, University of Zilina, Zilina, Slovakia

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.

Keywords: traffic sign recognition, color features, shape features, optical character recognition
Grants and funding:

The results in this project were supported by grant VEGA 1/0563/23: Research and development of visual inspection algorithms for manufacturing process quality increasing of power semiconductor modules.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: June 19, 2025; Accepted: August 14, 2025; Prepublished online: September 29, 2025; Published: October 7, 2025  Show citation

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Koniar, D., Harga¹, L., & Danko, M. (2025). Detection of Selected Regulatory Traffic Signs Using Common Dashboard Camera. Communications - Scientific Letters of the University of Zilina, 27(4), C61-69
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