Deep learning algorithms have a wide range of applications, including cancer diagnosis,
face and speech recognition, object recognition, etc. It is critical to protect these models …

Traffic-sign detection and recognition (TSDR) is crucial to avoiding harm to pedestrians,
especially children, from intelligent connected vehicles and has become a research hotspot …

The booming development of unmanned technology has placed greater demands on traffic
sign detection. In this context, speed and accuracy are simultaneously pursued, yet existing …

This abstract delves into the realm of traffic sign detection techniques tailored for India's
diverse and dynamic traffic environment. It navigates through traditional methods like color …

Accurate traffic sign recognition is one of the core technologies of intelligent driving systems,
which face multiple challenges such as insufficient light and shadow interference at night. In …

Raising performance standards by carefully combining tried-and-true techniques with cutting-
edge approaches. Based on the foundation of the current YOLOv5 algorithm, which is well …

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

As mechanized construction activities escalate in transmission line projects, the stability of
the power system and environmental protection face challenges from soil erosion. This study …

In order to solve the problem of complex structure and heavy computation of traffic sign
recognition algorithm, a lightweight traffic sign recognition algorithm YOLOv8-MixFaster …

Object detection and image recognition are considered to be the most critical and
challenging aspects of computer vision. The rapid advancement of driverless technology …