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 …

Nowadays, intelligent transportation system (ITS) has become one of the most popular
subjects of scientific research. ITS provides innovative services to traffic monitoring. The …

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 …

The swift and precise detection of vehicles plays a significant role in intelligent transportation
systems. Current vehicle detection algorithms encounter challenges of high computational …

Purpose This study aims to provide an automatic strabismus screening method for people
who live in remote areas with poor medical accessibility. Materials and methods The …

Computer vision using deep learning has revolutionized the detection system and vehicle
detection is no exception to it. The importance of vehicle classification and detection is in …

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

Emergency vehicle detection plays a critical role in ensuring timely responses and reducing
accidents in modern urban environments. However, traditional methods that rely solely on …

This paper discusses the Convolutional Neural Network (CNN) applied in emergency
vehicle image classification. Emergency vehicles are often found stuck in traffic congestion …