we present the plans of a driver-assistance system, which will be capable of road lane and traffic sign detection by using an OPEN-CV.

This repository is for self driving car project developed as a part of Software Engineering project at NIIT University

AI-powered Driver Drowsiness Detection System using Computer Vision & Machine Learning for real-time driver alertness monitoring and accident prevention.

The Safer Streets Priority Finder enables you to analyze the risk to bicyclists and pedestrians on your community’s roads.

Multi-dimensional Analytics Project on Road Accidents of India.

A dataset for traffic accident analysis in the US

The "Driver Coach" system is based on a camera, sensors and machine learning algorithms. It monitors car driver behaviour and provides feedback to improve road safety. The system can be part of a larger Road Safety ECO system sharing data between driver and organisations (Smart City).

Emergency Index (EI): A two-dimensional surrogate safety measure considering vehicles' interaction depth

Demo telematics app for Flutter. The application walks you through the telematics SDK integration. The technology is suitable for UBI (Usage-based insurance), shared mobility, transportation, safe driving, tracking, family trackers, drive-coach, and other driving mobile applications

✔👉A Centralized WebApp to Ensure Road Safety by checking on with the activities of the driver and activating label generator using NLP.

A project to detect accident and send notification to hospitals whenever a accident happens.

Codebase for the paper 'SS SFDA: Self-Supervised Source Free Domain Adaptation for Road Segmentation in Hazardous Environments'

A Repository to Train a Custom Yolov4 based object detector for road damage detection using the RDD2020 dataset

A project which helps prevent accidents caused by the driver getting drowsy. The project is built on python using OpenCV library.

R Package: Road Condition Analysis

Semi-autonomous system for lane keeping based on C++ & OpenCV 4.x

Detect road anomalies such as cracks, potholes, and bumps using our trained YOLOv8 models with visual demo. Real-time detection via Streamlit and Flask app

Reproducible road safety research with R: a practical user manual

Here, I analyze the Road Safety and Traffic Demographics dataset (UK), containing accidents reported by the police between the years of 2004 - 2017.

This is my bachelor's thesis, which contains three main features: lane detection, road segmentation, and a Forward Collision Warning (FCW) system