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.

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

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

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

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

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

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

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

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

This repository offers code to reuse methodology and repeat experiments in the study "Learning Collision Risk Proactively from Naturalistic Driving at Scale".

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.