Connected vehicles and fully automated driving systems are the main objectives of the
future transportation system. A safe interactive system that interacts with people and things is …

The rapid advancement in the field of deep learning and high performance computing has
highly augmented the scope of video-based vehicle counting system. In this paper, the …

Nowadays, the demand of camera surveillance systems (CSS) has been increasingly
adopted in various industries for smart manufacturing. However, the increase of utilizing …

In recent years, vision-based vehicle detection has received considerable attention in the
literature. Depending on the ambient illuminance, vehicle detection methods are classified …

The paper presents a systematic method of stability analysis for automatic steering system
involving a time delay and some external disturbances. The analysis focuses on the stability …

Blind spot road accidents are a frequently occurring problem. Every year, several deaths are
caused by this phenomenon, even though a lot of money is invested in raising awareness …

In the field of driverless cars, safety is the main concern. The safety systems for these cars
are mainly dependent on the inputs of cameras and sensors like Light Detection and …

One of the most important features of smart cities is efficient traffic monitoring. Currently,
many monitoring approaches focus on video-processing techniques using traffic …

We present a novel computational imaging principle that combines diffractive optics with line
(1D) sensing. When light passes through a diffraction grating, it disperses as a function of …

Night time vehicle detection and tracking has been a challenging task in recent years. This
paper presents a novel context-aware traffic surveillance system that integrates sensor …