road-safety

There are 63 repositories under road-safety topic.

  • Road-Detection-System

    Vatshayan/Road-Detection-System

    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.

    Language:Jupyter Notebook463120

  • GeekyShiva/Self-Driving-Car

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

    Language:Java375131

  • tooledesign/Safer-Streets-Priority-Finder

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

    Language:R31507

  • katreparitosh/Multi-Dimentional-Data-Analytics-of-Road-Accidents-in-India

    Multi-dimensional Analytics Project on Road Accidents of India.

    Language:Jupyter Notebook251015

  • Tauvic/DriverAwareness

    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).

    Language:Python25205

  • Mobile-Telematics/telematicsSDK-demoapp-flutter-

    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

    Language:Dart216810

  • VirtuosoResearch/ML4RoadSafety

    A dataset for traffic accident analysis in the US

    Language:Python20171

  • prathimacode-hub/AI-For-Road-Safety

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

    Language:Jupyter Notebook17205

  • Jatin-Goyal-552/OSDHack-22_AccidentDetectionAI

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

    Language:Python16406

  • divyakraman/SS-SFDA-Self-Supervised-Source-Free-Domain-Adaptation-for-Road-Segmentation-in-Hazardous-Environme

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

    Language:Python14122

  • adamczykpiotr/SemiAutonomousLaneKeepingSystem

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

    Language:C++13203

  • vsimko/rroad

    R Package: Road Condition Analysis

    Language:R133124

  • adnankarol/Road-Damage-Detection-YoloV4

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

    Language:Jupyter Notebook12106

  • TheCleverIdiott/drowsiness-detection

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

    Language:Python12205
  • Accident_Severity_UK_Classification

    RichardAbraham/Accident_Severity_UK_Classification

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

    Language:Jupyter Notebook9106

  • HarshAgarwal2703/Pothole-Project

    Road transport is the most widely used means of transportation around the world. With this high use of road transport, the safety of travellers’ becomes the prime concern for any governing authority. While some safety concerns arise from driver errors and environmental factors, most cases are a result of poor maintenance of these roads. Potholes, specifically, are one of the leading causes of road accidents throughout the world and need to be taken care of immediately, by the authorities. This paper presents a solution that makes use of civilians’ mobile sensors, along with image-based alternatives to detect potholes in real-time, using Machine Learning. The concerned authorities are then notified about the same through a web-based portal, to take the necessary action. The solution also incorporates pivoting existing complaints, location tagging and prioritization. Additionally, the solution provides a forecast of the likelihood of issues regarding potholes, constantly updating time series data of the locations.

    Language:Jupyter Notebook7102

  • itsleeds/rrsrr

    Reproducible road safety research with R: a practical user manual

    Language:TeX7627

  • hikmatullah-mohammadi/vision-based-adas

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

    Language:Jupyter Notebook5200

  • saferactive/trafficalmr

    R package to support road safety and traffic calming measures

    Language:R54221
  • urbanroadsafety

    klnmrn/urbanroadsafety

    This repository follows the paper "Identifying urban features for vulnerable road user safety in Europe".

    Language:Jupyter Notebook4403

  • mukul54/Deep-Learning-for-Road-Safety

    Bosch Hackathon

    Language:Jupyter Notebook4003

  • StepanTita/rdrone-front

    A comprehensive software system leveraging convolutionary neural networks, drones, and IoT for real-time road quality monitoring and alerts. Built using Python, TensorFlow, Django, and Vue.js.

    Language:Vue4200

  • tr-ai-n/the-third-eye

    A project developed for Robert Bosch UN IRSC Road Safety Hackthon for Driver Intent Classification.

    Language:Jupyter Notebook4103

  • adit-sinha/Automatic-Traffic-Monitor

    The Automatic Traffic Monitor (prototype) acts as a traffic officer through AI in order to prevent accidents using car proximity detectors.

    Language:C3101

  • CasCard/TelVerADTeS-Messasys

    Telemetry Versatile Accident Detection Tracking and Security System

    Language:C++2200

  • farukulutas/RoadVisor-app

    RoadVisor is an augmented reality navigation application aimed at enhancing the driving experience. It combines real-time traffic information and advanced computer vision techniques to improve safety and efficiency on the road. The project is brought to life by a passionate team of computer engineering students.

    Language:Kotlin2100

  • jmcarrillog/data-integration-for-road-monitoring

    CARSP'19 paper - Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions

    2100

  • jmcarrillog/geo-ml-workshops

    Co-authored workshops on Machine Learning for Geospatial data at the University of Waterloo

    Language:Jupyter Notebook2101
  • CEF440-group-3

    Joy-sameza/CEF440-group-3

    The repository for the course CEF440: INTERNET PROGRAMMING (J2EE) AND MOBILE PROGRAMMING

    Language:Dart2200

  • kashishparmar02/triple-rider-detection

    Detects motorcycles with more than two riders, helmet compliance, and mobile usage using YOLOv8, trained on a custom dataset of 6,000+ images.

    Language:Jupyter Notebook2102

  • pranali-823/Driver-Fatigue-Detection-and-Alert-System

    DFDS is a raspberry pi system that detects driver's fatigue and alerts driver through audio visual ques .The system also sends signal to android app which sends distress message to a predefined contact

    Language:Java2103

  • StepanTita/rdrone-back

    A comprehensive software system leveraging convolutionary neural networks, drones, and IoT for real-time road quality monitoring and alerts. Built using Python, TensorFlow, Django, and Vue.js.

    Language:Python220

  • VascoRibeiroPereira/carspeed.py

    Record the speed of cars passing in front of the Raspberry Pi Picamera and make an exploratory data analysis with R

    Language:HTML2200

  • 0xnu/ai_hackathon_in_transport2024

    AI Hackathon in Transport 2024

    Language:Jupyter Notebook1101

  • Daksshhh/Driver-Drowsiness-Detection

    Driver Drowsiness Detection - A robust solution leveraging computer vision and machine learning. Unleash the power of facial and eye movement analysis for real-time fatigue alerts, contributing to an unparalleled level of road safety.

    Language:PureBasic1100
  • toot_project

    kayyreem/toot_project

    Working files & insights outlining the: Why, What & How, for TootAfrica (a subsidary of TootGlobal)

    Language:HTML1110