Increasing women's active participation in economic, educational, and social spheres
requires ensuring safe public transport environments. This study investigates the potential of …

Deep learning has recently gained popularity in the field of video anomaly detection, with
the development of various methods for identifying abnormal events in visual data. The …

Abstract Video Anomaly Detection (VAD) represents a challenging and prominent research
task within computer vision. In recent years, Pose-based Video Anomaly Detection (PAD) …

High efficiency and accuracy of semi-global matching (SGM) make it widely used in many
stereo vision applications. However, SGM not only struggles in dealing with pixels in …

Spillages may cause traffic congestion and incidents and seriously affect the efficiency of
traffic operation. Due to the changeable shape and scale of a spill on a highway, the location …

Teleoperated driving (ToD) systems are a special type of cyber-physical system (CPS)
where the operator remotely controls the steering, acceleration, and braking actions of the …

The common use of video cameras in public and private spaces for traffic management,
security, and anomaly detection has brought significant benefits. However, automatically …

The higher the vehicle autonomy level is, the more the problems that need to be solved by
engineers designing its sensors and control systems. Apart from the mechanical, electrical …

Human Activity Recognition (HAR) is considered a multidisciplinary field that different
branches of science contribute to its advancements. Vision-Based HAR is one of the means …

Automated road vehicles, commonly known as autonomous vehicles (AV) is a revolutionary
step for next generation mobility services on public roads. The primary mission of AV is to …