Traffic road sign detection is important to a robotic vehicle that automatically drives on roads. As the colors of most traffic road signs are blue and red, in this paper, we use Hue- Saturation- Intensity (HSI) color space for color based segmentation at first. Using important geometrical features, the road signs are detected perfectly. After segmentation, it turns to classify every detected road signs. For this purpose, we employ and compare the performance of three classifiers; they are distance to border (DTB), FFT sample of signature, and code matrix. In this work, we use the code matrix as an efficient classifier for the first time. Although the achieved accuracy by code matrix is greater than the two referred classifiers in average, the main advantage is simplicity and so less computational cost.
Traffic Road Sign Detection and Classification
2024
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Road traffic sign detection and classification
Tema Archive | 1997
|Traffic Sign Classification for Road Safety using CNN
IEEE | 2024
|Traffic Sign Detection and Classification
IEEE | 2023
|Traffic sign detection model transmitted according to traffic sign classification information
European Patent Office | 2024
|Road bridge sign detection and classification
IEEE | 2006
|