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 …

With the rapid development of technology and artificial intelligence in today's era, people are
increasingly inclined to the technology of automatic driving, Real-time detection of traffic …

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 …

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 …

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 …

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 real scenarios, accurate and real‐time detection of traffic signs is of great significance to
the automatic driving system. To meet the requirements of detection accuracy and speed, a …

There are three problems in YOLOv4-Tiny when it is used for traffic sign detection: the
feature pyramid network fails to fuse high-level and low-level features sufficiently, the …

In the deep learning algorithm, YOLOv4 and Faster R-CNN have achieved excellent target
detection performance. To improve the real-time detection of small targets in traffic signs, this …

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 …