The need to accurately estimate the speed of road vehicles is becoming increasingly
important for at least two main reasons. First, the number of speed cameras installed …

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 …

Unmanned ground vehicles (UGVs) have great potential in the application of both civilian
and military fields, and have become the focus of research in many countries. Environmental …

Smart traffic and information systems require the collection of traffic data from respective
sensors for regulation of traffic. In this regard, surveillance cameras have been installed in …

Vehicle detection algorithms are essential for intelligent traffic management and
autonomous driving systems. Current vehicle detection algorithms largely rely on deep …

This paper presents an efficient feature-based tracking system to detect vehicles in a
number of challenging conditions like lighting, occlusion, and darkness. A novel approach …

The paper proposes a robust approach to detect and track the vehicle under various climatic
conditions and in the presence of camera shake, shadows, sudden illumination change …

Image segmentation and object detection using CNN (Convolutional Neural Network) and
OpenCV (Open-Source Computer Vision) is a popular research area in the field of computer …

Development of automated system for vehicle speed measurement is main feature to solve
the problem regarding to the traffic surveillance system. It is profitable for secure …

The paper aims in presenting distinctive pattern in identification of vehicles using basic and
sequential algorithms. Vehicle detection and classification are crucial in traffic control and …