Autor: |
Koloushani, Mohammadreza, Fatemi, Ali, Tabibi, Masoud, Ozguven, Eren Erman |
Předmět: |
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Zdroj: |
Pertanika Journal of Social Sciences & Humanities; Jun2020, Vol. 28 Issue 2, p1567-1579, 13p |
Abstrakt: |
The Mobile Mapping System is a trend that provides a comprehensive database of information including video images. The goal of this paper is to introduce an image processing method that could be integrated with GPS data to automatically control the road safety standards for speed limit signs before horizontal curves and identify the problems. The proposed method introduced a new trend in the area of image processing and pattern recognition. The results substantiated a high percentage of success in identification and accuracy in sign distinction. Application of support vector machine led to 92% accuracy in the identification of the signs and 97% accuracy in speed limit distinction. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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