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 …

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 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 …

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 …

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 …

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 …

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 …

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 significantly reduces traffic accidents, but in real-world scenarios, the
considerable distance between traffic signs and in-vehicle cameras means only a small …

Recently, real-time traffic sign detection has been widely applied in autonomous and
assisted car driving. At the same time, the research on traffic signs detection based on YOLO …