The application fields of traffic signs recognition are multiple, including autonomous
vehicles, self-driving cars, Advanced Driver Assistance Systems (ADAS), etc. The ultimate …

Road signs recognition plays an important role in improving traffic safety for both drivers and
pedestrians. To ensure this recognition, many approaches are proposed by researchers. To …

In the modern world, road traffic signs are vital for drivers safety. In fact, multistep traffic
forecasting on road networks can help to avoid many problems on the streets. In this context …

Making cars safer is a crucial element of saving lives on roads. In case of inattention or
distraction, drivers need a performant system that is capable of assisting and alerting them …

In intelligent transportation systems, traffic sign recognition is crucial. Driver assistance and
autonomous driving are two important functions of traffic sign detection. We present a …

Convolutional Neural Networks (CNN) are already being used to perform an increasing
number of object identification challenges. Most of the existing and new computer vision …

Traffic signs are a vital tool of the transport system because they serve to keep pedestrians
and drivers readily informed that they can be alerted and notified. Thus, different traffic sign …

Nowadays, more and more object recognition tasks are being solved with Convolutional
Neural Networks (CNN). Due to its high recognition rate and fast execution, the …

Despite the fact that traffic sign segmentation has been publicized for a long time, the
majority of past research has centered on traffic signs using graphics. This study aims to …

The recognition and classification of traffic signs hold significant significance within
intelligent transportation systems and autonomous vehicles. This task entails the precise …