Abstract
Neglect of the instructions of road traffic signs is one of the main contributing factors in road accidents. Smartphone traffic sign detection technology can offer significant information about the driving environment and increase driving comfort and traffic safety. It could also have interesting road inventory and maintenance applications. In this paper, we propose a driver assistance system for real-time detection of traffic signs on smartphone platforms using the OpenCV computer vision library. This technology uses the back camera of a smartphone to capture images of the driving environment and then uses advanced image processing functions to detect traffic signs. The field experiment on target traffic signs showed an 85% detection rate. The performance of the application may vary between devices with different processing power and camera quality.
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Acknowledgments
This work was partially supported by the “KiTSmart Project – City of Vienna Competence Team for Intelligent Technologies in Smart Cities”, project number 18-07 funded by national funds through the MA 23, Urban Administration for Economy, Work and Statistics, Vienna, Austria.
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Aminian, M.S., Allamehzadeh, A., Mostaed, M., Olaverri-Monreal, C. (2018). Cost-Efficient Traffic Sign Detection Relying on Smart Mobile Devices. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science(), vol 10672. Springer, Cham. https://doi.org/10.1007/978-3-319-74727-9_50
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DOI: https://doi.org/10.1007/978-3-319-74727-9_50
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