Identifying the type of vehicle on the road is a challenging task, especially in the natural
environment with all its complexities, such that the traditional architecture for object detection …

Vehicle detection is an important module in traffic management and control systems. These
systems require compactness, mobility, and high accuracy when deployed in a real-time …

A vehicle detection algorithm is an indispensable component of intelligent traffic
management and control systems, influencing the efficiency and functionality of the system …

Accurate and fast vehicle detection is a key factor in the field of intelligent transportation. To
solve the problems such as low recognition accuracy, slow detection speed, and poor …

Object detection is a crucial component of the perception system in autonomous driving.
However, the road scene presents a highly intricate environment where the visibility and …

Hazardous material vehicles are a non-negligible mobile source of danger in transport and
pose a significant safety risk. At present, the current detection technology is well developed …

Highlights What are the main findings? An improvement upon the state-of-the-art YOLOv8
model, proposing a high-performance and highly generalizable model for detecting tiny UAV …

Vehicle detection technology is of great significance for realizing automatic monitoring and
AI-assisted driving systems. The state-of-the-art object detection method, namely, a class of …

An algorithm based on improved YOLOv5s is proposed to solve the problems of false and
missing vehicle detections. Firstly, a coordinate-attention (CA) module is added to the …

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 …