Traditional image processing methods used for detecting traffic lights and traffic signs are
replaced by the recent enhancements of the deep learning method by the success of …

Traffic signs are one of the important road equipment facilities to inform road users about
regulations and visual directions. Currently, an automatic Traffic Sign Recognition (TSR) …

Due to the expeditious increase in the number of vehicles, there is an increase in the
number of road casualties even in a highly sophisticated roadway. This depicts the natural …

The ability of perception and understanding all static and dynamic objects around vehicle in
various driving and environmental conditions represent one of the main requirements for …

Image and video processing is a major contributor of object's detection, since only video
sensor can analyze a lot of visual information specific of road scene. Notably road signs …

The issue of effective detection and classification of various traffic signs is studied. The two-
stage method is proposed for creation of holistic model with end-to-end solution. The first …

This paper describes an application that uses a neural network to classify vehicular traffic on
video. With the increase in the number of vehicles, the need to regulate traffic on the roads to …

This study describes an application that uses a neural network approach to traffic sign
recognition. Traffic sign recognition is an important part in the assessment of traffic situations …

The research on this topic was important primarily because of the high rate of accidents due
to negligence of the traffic signs present. This led to finding ways of creating an alert system …

Vehicle detection and classification plays a vital role within the space of the traffic
management system. There's an outsized area for the development during this system as …