Object detection and image recognition are some of the most significant and challenging
branches in the field of computer vision. The prosperous development of unmanned driving …

Traffic sign detection and recognition in an unconstrained environment is a challenging task
for autonomous vehicle operations. The small traffic signs in the captured image make this …

Aiming at solving the problem of missed detection and low accuracy in detecting traffic signs
in the wild, an improved method of YOLOv8 is proposed. Firstly, combined with the …

In this paper, we aim at the traffic sign detection and recognition in complex road conditions.
We proposed a deep model for traffic sign detection and recognition. There are a few …

To solve the problem that the existing YOLOv3 algorithm had more false detections and
missed detections for traffic sign detection task with small target problems and complex …

With the gradual popularization of autonomous driving technology, how to obtain traffic sign
information efficiently and accurately is very important for subsequent decision-making and …

The technology of traffic sign detection is an important technology in autonomous driving.
However due to the small size of traffic signs and the complicated background there are …

Detection and recognition of traffic signs are the keys to creating advanced driving
assistance systems. Making highly precise maps also requires the identification and …

With the development of automatic driving technology, traffic sign detection has become a
very important task. However, it is a challenging task because of the complex traffic sign …

Traffic sign detection is an essential component of an intelligent transportation system, since
it provides critical road traffic data for vehicle decision-making and control. To solve the …