Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …

This study describes an applied and enhanced real-time vehicle-counting system that is an
integral part of intelligent transportation systems. The primary objective of this study was to …

Inspired by multi-agent systems (MASs) and ensemble models, a novel method of vehicle
make and model recognition (VMMR) based on a vehicle's front-view images is presented in …

Advanced driver assistance systems (ADASs) are becoming increasingly common in
modern-day vehicles, as they not only improve safety and reduce accidents but also aid in …

Autonomous driving is the future of the automotive industry across the globe. Many
challenges must be resolved in designing and developing successful Autonomous Driving …

License plate recognition (LPR) is an integral part of the current intelligent systems that are
developed to locate and identify various objects. Unfortunately, the LPR is a challenging …

Recently, gigapixel photography has been developed considerably and gradually put into
remote sensing, video surveillance, etc. Gigapixel images have a visible field of view area at …

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

Identifying the type of vehicle on the road is a challenging task, especially in the natural
environment with all its complexities, such that the traditional architecture for object detection …

Accurate vehicle detection plays a vital role in intelligent transportation systems. Various day
conditions, for instance, dawn, morning, noon, or non-uniform illuminations put restrictions …