This repository is for self driving car project developed as a part of Software Engineering project at NIIT University
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Updated
Dec 2, 2017 - Java
This repository is for self driving car project developed as a part of Software Engineering project at NIIT University
Road Surface Condition Monitoring System Utilizing Motorcycle
Self driving car project developed as a part of the course Software Engineering at NIIT University.
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
A project developed for Robert Bosch UN IRSC Road Safety Hackthon for Driver Intent Classification.
Accident Detection System using GSM, GPS and Accelerometer modules.
Here, I analyze the Road Safety and Traffic Demographics dataset (UK), containing accidents reported by the police between the years of 2004 - 2017.
CARSP'19 paper - Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions
Co-authored workshops on Machine Learning for Geospatial data at the University of Waterloo
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
An android application built to ensure the road safety of a driver. It alarms the driver in case of over speeding or drowsiness. Drowsiness detection done using OpenCV. Location-specific speed limit taken into account using Google Roads API. The driver is provided with a map to facilitate easier road navigation.
Record the speed of cars passing in front of the Raspberry Pi Picamera and make an exploratory data analysis with R
Semi-autonomous system for lane keeping based on C++ & OpenCV 4.x
This project focuses on deriving insights from Irish road safety data from 2005 to 2012
Machine Learning model to create an optimized ambulance deployment strategy in Nairobi.
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).
Reproducible road safety research with R: a practical user manual
Bosch Hackathon
Telemetry Versatile Accident Detection Tracking and Security System
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