Popular GitHub Repositories for Adas

An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Simple and Easy simulator YOLO Object Detection with Bird's Eye View

A benchmark towards generalizable reinforcement learning for autonomous driving.

A collection of ego-motion estimation projects for AD/ADAS functions

This project aims to develope a Road-Segmentation model for Advanced Driver Assistance System (ADAS)

This repository contains the implementation of a lane detection system using the UNet architecture. The model is trained on the BDD100K dataset, leveraging its diverse and large-scale data to ensure robust performance under various weather conditions and different times of day.

Development of a lane detection and tracking solution for self-driving cars. This is an important part of the autopilot system, to ensure the safety and efficiency of the driver and passengers on the road.

Nvidia End-toEnd deep learning for self driving cars is implemented.

Driving Assistant System to avoid driver drowsiness powered by generative AI

we are building level 2 autonomous systems for self driving car