Vehicle detection is one of the important applications of object detection in intelligent
transportation systems. It aims to extract specific vehicle-type information from pictures or …

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 …

A vehicle detection algorithm is of great significance for automatic driving technology.
Current vehicle detection algorithms suffer from the complex structure, high configuration of …

Rapid and precise detection and classification of vehicles are vital for the intelligent
transportation systems (ITSs). However, due to small gaps between vehicles on the road …

Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …

To reduce the false detection rate of vehicle targets caused by occlusion, an improved
method of vehicle detection in different traffic scenarios based on an improved YOLO v5 …

Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have become useful for various civil
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …

Road damage detection is an important task to ensure road safety and realize the timely
repair of road damage. The previous manual detection methods are low in efficiency and …

Aerial vehicle detection has significant applications in aerial surveillance and traffic control.
The pictures captured by the UAV are characterized by many tiny objects and vehicles …

YOLO has a fast detection speed and is suitable for object detection in real-time
environment. This paper is based on YOLO v3 network and applied to parking spaces and …