Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …

Receipts OCR has made a significant improvement on accounting, which has attracted
much attention of the research community in the field of computer vision as well as natural …

Developing AI systems for automatic train operation (ATO) requires developers to have a
deep understanding of the human tasks they are trying to replace. This paper fills this gap …

In this paper we introduced a deep learning-based framework for vehicles detection,
tracking and speed estimation. YOLOv7 has been trained to detect and classify vehicles into …

This paper introduces the specific requirements of the domain of train operation and its
regulatory framework to the AI community. It assesses sensor sets for driverless and …

Detection, identification, and automatic counting of vehicles using video surveillance
cameras plays an essential role in intelligent transportation management. Despite the …

Many vision-based traffic monitoring systems are limited to daytime detection and have
difficulties at later times of the day where there is low-illumination. Several studies have …

The advent of autonomous vehicles has motivated researchers to focus their research on
developing improved advanced driver assistance systems (ADAS). A key area of study in …

This study enhances the YOLOv8n algorithm for nighttime vehicle detection challenges. It
preprocesses nighttime imagery with the Retinex algorithm to improve image quality under …

This paper introduces the specific requirements of the domain of train operation and its
regulatory framework to the AI community. It assesses sensor sets for driverless and …