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 …

Automatic driving requires real-time consideration for traffic sign target detection algorithms
while ensuring the accuracy. However, the current one-stage target detection algorithm …

In recent years, significant progress has been witnessed in the field of deep learning-based
object detection. As a subtask in the field of object detection, traffic sign detection has great …

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 …

Traffic sign detection plays an important role in traffic safety and traffic management. In view
of the complex and changeable environment and detection accuracy of traffic sign detection …

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 …

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

Traffic sign detection, as an important part of intelligent driving, can effectively guide drivers
to regulate driving and reduce the occurrence of traffic accidents. Currently, the deep …

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 …

Traffic sign detection is a challenging task for the unmanned driving system, especially for
the detection of multi-scale targets and the real-time problem of detection. In the traffic sign …