To improve the accuracy and real-time performance of traffic signs recognition, a
convolutional neural network (CNN)-based image clustering algorithm is proposed for fast …

Traffic sign detection and recognition are crucial in the development of intelligent vehicles.
An improved traffic sign detection and recognition algorithm for intelligent vehicles is …

Intelligent transportation systems have recently gotten a lot of interest because of their vast
range of applications. The detection and identification of traffic signs system is an important …

As road traffic sign recognition is a crucial component for automatic driver assistance
systems, it is a key problem in computer vision as well. Therefore, in this paper, we study on …

Traffic signs recognition and classification play an important role in the unmanned automatic
driving. Various methods were proposed in the past years to deal with this problem, yet the …

Traffic signs play a crucial role in regulating traffic and facilitating cautious driving. Automatic
traffic sign recognition is one of the key tasks in autonomous driving. Accuracy in the …

In order to solve the problems of low accuracy and slow recognition speed of traffic signs, a
multi-layer and multi-scale convolutional neural network recognition algorithm is proposed …

Object detection and recognition is a significant activity in computer vision applications.
Advanced driver assistance systems (ADAS) uses computer vision predominantly as its tool …

Traffic sign recognition is an important part of driver assistance systems. Because the types
of traffic signs are complex and diverse, they are difficult to identify. Traditional recognition …

In the existing algorithms for traffic sign recognition, sometimes the training time is short but
the recognition rate is low, and other times the recognition rate is high but the training time is …