Recently, research related to Advanced Driver Assistance Systems is active. In this paper,
EfficientDet Fusion Framework for multi-spectral pedestrian detection is constructed through …

Presently, many researchers and engineers have investigated autonomous driving, which
has significantly influenced the revolution of artificial intelligence (AI). One of the critical …

Featured Application (1) A pervasive system based on deep learning that can utilize a
camera and GPS sensors of a car on a road to provide an up-to-date roadway safety …

Anomaly detection in sequences is a complex problem in security and surveillance. With the
exponential growth of surveillance cameras in urban roads, automating them to analyze the …

ITVD is a technique which uses Artificial Intelligence and deep learning concepts to detect
the vehicle violating the traffic rules. We observe that in the past few years there has been a …

We propose a method for pedestrian detection from aerial images captured by unmanned
aerial vehicles (UAVs). Aerial images are captured at considerably low resolution, and they …

Surveillance cameras are commonly used along US highways by State Departments of
Transportation (DOT) to monitor the traffic status. State-of-the-art automatic traffic status …

Autonomous vehicle is an emerging topic for both researchers and the automobile industry
as companies are still struggling to make fully functional autonomous vehicles. Driving a …

In recent times, many innocent people are suffering from sudden death for the sake of
unwanted road accidents, which also riveting a lot of financial properties. The researchers …

Nowadays, many pedestrians are injured or killed in traffic accidents. As a result, several
artificial vision solutions based on pedestrian detection have been developed to assist …