Modern development in deep learning and computer vision techniques, intelligent
transportation system (ITS) has emerged as a useful tool for building a traffic infrastructure in …

Today, the use of artificial intelligence (AI) to enhance the processes of online shopping is
crucial for e-commerce as it uses the past purchasing behavior of customer-automated …

Lane detection is an essential task in autonomous driving. A good lane detection model
should achieve many objectives, such as high accuracy, rapid detection, and low memory. In …

The road segmentation task has become increasingly important in fields such as urban
planning, traffic management, and environmental monitoring. However, most existing deep …

The race to launch a full Autonomous Vehicle (AV)(level 4-level 5) on the street has been
accelerated. Thus, it has raised the bar of expectations and the challenge for the research …

To detect and locate road objects precisely is crucial for the routing and navigation of
autonomous vehicles and robots. A deep neural network can be used for this purpose but …

This paper presents an innovative integration of Advanced Driver Assistance Systems
(ADAS) with Vehicle-to-Everything (V2X) communication technology aimed at enhancing …

Object detection plays a vital role in several applications, including autonomous driving
systems and intelligent transportation systems. However, accurate Object detection in …

This comprehensive review investigates recent advancements in deep learning-based
tracking and object detection for autonomous driving. Tracking and object detection are …

The article considers a computer vision system for a crewless ship. The existing approaches
to the construction of such systems are described, and the strengths and weaknesses of …