FLORES-CALERO, Marco et al. IMPLEMENTATION OF AN ALGORITHM FOR ECUADORAM TRAFFIC SIGN DETECTION: STOP, GIVE-WAY AND VELOCITY CASES. []. , 20, pp.9-20. ISSN 1390-860X.  https://doi.org/10.17163/ings.n20.2018.01.

This paper presents a system prototype for traffic sign detection (SDST) on-board a moving vehicle. Therefore, a new approach to the development of an SDST is presented, using the following innovations: i) an efficient method of color segmentation for regions of interest (ROIs) generation based on with -means, ii) a new version of the HOG descriptor for feature extraction and iii) SVM training for stage multi-classification. The proposed approach has been specialized and tested on a subset of Regulatory (Stop, Give-way and Velocity) Ecuadorian signs. Many experiments have been carried out in real driving conditions, under different lighting changes such as normal, sunny and cloudy. This system has showed a global performance of 98.7% for segmentation, 99.49% for classification and an accuracy of 96% for detection.

: Accidents; Ecuador; HOG; SVM; Traffic sign; Stop; Give way; Velocity; K-NN; K_m-means.

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