Recently, intelligent transportation systems (ITS) attracts more and attention for its wide applications. Traffic sign detection recognition (TSDR) system is an essential task of ITS. It enhances the safety by informing drivers about current state traffic signs offering valuable information precautions. This paper reviews popular methods (TSD) prevalent in recent literature. The are divided int...

Aiming at solving the problem of missed detection and low accuracy in detecting traffic signs wild, an improved method YOLOv8 is proposed. Firstly, combined with characteristics small target objects actual scene, this paper further adds blur noise operation. Then, asymptotic feature pyramid network (AFPN) introduced to highlight influence key layer features after fusion, simultaneously solve di...

A traffic sign classification method based on artificial neural network is proposed in this paper. The proposed method for classifying traffic signs first detects traffic signs by using on the property of color probability model and then classifies the detected traffic signals. In both of detection and classification processes, two artificial neural network models are utilized. Experiments on p...

Environment awareness technology is one of the most critical technologies for autonomous vehicles, and traffic sign recognition an important branch environment system, which has research significance ensuring safety. To solve problems easy omission inaccurate positioning detection under complex illumination conditions, there are two main innovations in this paper: firstly, adaptive image enhanc...

Traffic signs are part of road equipment that is very important for motorists because they can provide direction while on the highway, and if there damage, repair or replacement must be carried out immediately it cause traffic accidents. Data collection damaged still done using manual method, so takes a long time. Therefore, web- android-based application was designed implements Analytical Hier...

Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I as well as I2V) applications are developing very fast. They rely on telecommunication and localization technologies to detect, identify and geo-localize the sources of information (such as vehicles, roadside objects, or pedestrians). This paper presents an original approach on how two different technologies (a near infrared identificat...

--Traffic sign recognition usually consists of two parts : detection and classification. In this paper we describe the classification stage using ring partitioned method. In this method, first the RGB image is converted into gray scale image using color thresholding and histogram specification technique. This gray scale image, called as specified gray scale image is invariant to the illuminatio...

Traffic Sign Recognition (TSR) is now relatively well-handled by several approaches. However, traffic signs are often completed by one (or several) supplementary placed below. They are essential for correct interpretation of main sign, as they specify its applicability scope. difficulty of supplementary sub-sign recognition potentially infinite number of classes, as nearly any can be written on...