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 …

Object detection in road scenes is a task that has recently become popular and it is also an
important part of intelligent transportation systems. Due to the different locations of cameras …

Context: YOLO (You Look Only Once) is an algorithm based on deep neural networks with
real-time object detection capabilities. This state-of-the-art technology is widely available …

Traffic sign detection is an important part of environment-aware technology and has great
potential in the field of intelligent transportation. In recent years, deep learning has been …

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 …

Detecting and localizing standing dead trees (SDTs) is crucial for effective forest
management and conservation. Due to challenges posed by mountainous terrain and road …

Intelligent traffic systems represent one of the crucial domains in today's world, aiming to
enhance traffic management efficiency and road safety. However, current intelligent traffic …

Traffic sign detection plays a vital role in assisted driving and automatic driving. YOLOv5, as
a one-stage object detection solution, is very suitable for Traffic sign detection. However, it …

Attention is increasingly used in computer vision, where both channel attention and spatial
attention have proven their effectiveness in classification tasks. So how do we add the …

Traffic sign detection can provide important judgment information for the unmanned driving
system. To deploy the detector on edge equipment and have better detection performance, a …