Today’s, a common problem in cities is increasing delay and reducing the speed of traffic. On the other wise increasing costs of acquisition in urban area are not allow new routes and highways. Also construction of new highway or street such as Imam Ali highway and Sadr highway in Tehran lead to develop new applications (such as BRT lane ,…) And become quickly saturate and less eff...

Traffic sign detection is an important task in traffic sign recognition systems. Chinese traffic signs have their unique features compared with traffic signs of other countries. Convolutional neural networks (CNNs) have achieved a breakthrough in computer vision tasks and made great success in traffic sign classification. In this paper, we present a Chinese traffic sign detection algorithm base...

In this paper, we propose a new pre-processing method for detecting road traffic sign based on visual saliency map model. Since the road traffic sign boards have dominent color contrast against environment, we consider the color opponents information with center surround difference normalization as an input feature extraction, which is effective to reduce noise influence as well as intensify th...

In recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. Detection of traffic signs is an effective method to reach the mentioned aims. In this paper a new intelligent driver assistance system based on traffic...

Lane Detection and Traffic sign detection are the essential components in ADAS .Although there has been significant quantity of analysis dedicated to lane past, is still need robustness system. An important challenge current algorithm cope with bad weather illumination. In this paper proposes an improved Hough transform order achieve straight line while for curved sections, tracking studied. Th...

In this paper, the image processing method has been used to recognize traffic sign symbol from the static image. And then, we have to recognize traffic sign symbol by using single dimension principal component analysis (SDPCA). We have focused on traffic sign symbol of triangular shapes. Images are preprocessed with several image preprocessing techniques, such as threshold techniques, Gaussian ...