Numerous accidents and fatalities occur every year across the world as a result of the
reckless driving of drivers and the ever-increasing number of vehicles on the road. Due to …

Lane detection is the most common application for detecting lane boundaries in
autonomous vehicles intelligent driving systems. Lane detection performance has a …

Autonomous driving has sparked an entire revolution in the vehicle sector, offering to
increase the safety for road users, productivity, and convenience. However, using …

Path optimization is a crucial problem in unmanned vehicles. A* algorithm is one of the
conventional and reliable path planning algorithms; however, during experimental analysis …

Autonomous vehicles rely on object detection for safety, and various algorithms have been
developed to improve speed and precision. This paper ranks 44 object detection algorithms …

Aim of this research paper is to set up an interface for image converter. Python language
and opencv module have been introduced first. Further, the need for image processing, its …

Using fewer sensors to achieve more autonomous driving tasks has become a challenge.
Some of the existing research implements a single neural network model and achieves the …

Video surveillance systems have been researched and used since the first fixed security
camera. Meanwhile, camera or sensor technology has evolved greatly and provides better …

Understanding and predicting drivers' gaze patterns is essential for improving road safety
and optimizing in-vehicle displays. This study delves into the nuanced dynamics of drivers' …

Multi-vehicle tracking is used in advanced driver assistance systems to track obstacles,
which is fundamental for high-level tasks. It requires real-time performance while dealing …