Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing
a range of sensors and techniques, offer an effective method to monitor and alert drivers to …

There is a growing demand for carbon fiber-reinforced plastics (CFRPs) in the aerospace
and automotive industries. Consequently, the assembly and repair of CFRP components …

As the number of vehicles increases, road accidents are on the rise every day. According to
the World Health Organization (WHO) survey, 1.4 million people have died, and 50 million …

Road hazards (RH) have always been the cause of many serious traffic accidents. These
have posed a threat to the safety of drivers, passengers, and pedestrians, and have also …

We introduce an innovative methodology for the identification of vehicular collisions within
Internet of Vehicles (IoV) applications. This approach combines a knowledge base system …

Video capturing devices with limited storage capacity have become increasingly common in
recent years. As a result, there is a growing demand for techniques that can effectively …

The authors of this work propose a deep learning-based fault detection model that can be
implemented in the field of plastic injection molding. Compared to conventional approaches …

With the recent advancements in Autonomous Vehicles (AVs), two important factors that play
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …

Computer vision applications in intelligent transportation systems (ITS) and autonomous
driving (AD) have gravitated towards deep neural network architectures in recent years …