advanced-driver-assistance-systems

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.

Eye state localisation and detection for use in Advanced Driver Assistance System.

Prediction of the intention of pedestrians to cross the street or not, using Graph Neural Networks and the coordinates of their skeleton that was previously generated using Openpose in the JAAD dataset.

Multi-task learning using message passing graph neural network for radar based perception functions

🚸⛔Novel Deep Convolutional Network is proposed for traffic sign classification that achieves outstanding performance on GTSRB surpassing the best human performance of 98.84%.

Repository for the MSc project "To Err is Human: Designing Correct-by-Construction Driver Assistance Systems using Cognitive Modelling".

Using Blender and Python to generate synthetic data for training an 8-class YOLOv5 detector in a highway driving scenario (Sedan, SUV, Van, Truck, Bus, Warning Sign, Speed Limit Sign, Speed Cam Sign).

This repository contains the code I wrote for an external industry representative from General Motors who works as an Active Safety Technical Expert. This project reads in data from GM Advanced Driving Assistance Systems and stores it in a memory-efficient linked list, and then visualizes that data.