Understanding how and when drivers change lanes is key to improving highway traffic flow, safety and autonomous vehicle ...

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

Abstract: Violent crime has always been a major social problem. The rise of violent behavior in public areas can be attributed to a variety of factors. Greed, frustration, and hostility among ...

This project implements road lane detection using a U-Net deep learning architecture. It provides training code, prediction outputs, and an interactive Gradio UI for real-time testing on images, ...

Abstract: This work introduces a real-time traffic violation detection and automated enforcement system using Computer vision methodologies, notably YOLOv5 and Mask R-CNN. The system seeks to enhance ...