Join leading researchers and practitioners in the field of system simulation at the University of Niš, Faculty of Electronic Engineering
February 12-14, 2026 | University of Niš, Faculty of Electronic Engineering
https://doi.org/10.46793/SSSS2026.106S
Faculty of Electronic Engineering, Niš, Serbia
The paper is available at the following link: PDF
Due to the increasing use of electric scooters as a means of transportation in cities, ensuring the safety of their riders is very important. Limited visibility and the presence of blind spots in large vehicles, especially trucks and buses, and the difficulty of spotting electric scooters puts riders in dangerous situations. In this paper, we will demonstrate a computer vision approach for detecting electric scooters and present an evaluation of its performance. The idea is to create a system which can be implemented in large vehicles using dedicated cameras and software to warn drivers when an electric scooter is next to or behind the vehicle. The use of computer vision for this purpose is more effective than the use of simple sensors because this method accurately detects if there is an electric scooter, and not some other obstacle.
Computer vision, Electirc Scooters, Blind Spots, Traffic Safety.
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