The detection of traffic signs is easily affected by changes in the weather, partial occlusion,
and light intensity, which increases the number of potential safety hazards in practical …

Traffic sign detection is a challenging task for unmanned driving systems. In the traffic sign
detection process, the object size and weather conditions vary widely, which will have a …

为解决传统商业渔船电子监控数据中鱼类检测与识别任务人工成本高, 工作量大等问题,
采用基于改进的Yolov8 商业渔船电子监控数据中鱼类的检测与识别方法, 其中 …

In order to solve the problems of high leakage rate, high false detection rate, low detection
success rate and large model volume of small targets in the traditional target detection …

Fast and accurate detection of traffic signs is crucial for the development of intelligent
transportation systems. To address the issue of false detection and missing detection of …

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 …

The detection and recognition of traffic signs is an essential component of intelligent vehicle
perception systems, which use on-board cameras to sense traffic sign information …

This paper presents an enhanced version of YOLOv8 specifically designed for detecting
damage in overhead power lines. Firstly, to improve the model's robustness, an adaptive …

With the rise of global smart city construction, target detection technology plays a crucial role
in optimizing urban functions and improving the quality of life. However, existing target …

Recent developments in computer vision and deep learning technology have increased the
prevalence of advanced driver assistance systems (ADAS). ADAS technologies aim to …