Implementation of paper "Random-Walker Monocular Road Detection in Adverse Conditions Using Automated Spatiotemporal Seed Selection"

This repository is for DDW(Driver Drowsiness Warning Deep Learning Project) using FRCNN with Resnet50 and Custom Backbone in Pytorch=1.10

Visualization tools to be used for the exploration of publicly available Cirrus Dataset from Luminar and Volvo Car

Road segmentation using the Segment Anything Model (SAM)

The project is the official implementation of our WACV 2023 paper, "Real-Time Restoration of Dark Stereo Images"

The Fifth Driver is a project for the Adaptative Computing Developer Contest for Xilinx. We pretend to demonstrate that the Xilinx Ultrascale+ MPSoC architecture is suitable for developing machine learning applications applied to Autonomous Driving.

ADAS for BeamNG.drive

This is a Persian comprehensive review paper of Advanced Driver Assistance Systems (ADAS).

Centralized E/E Architecture - Extending DES03 with ADAS (Lane Assistance, Autonomes Driving Level 1) & Park-Distance-Control

Version 0.1 of Planned Dashboard for Dashboards

A Python script that checks driver attentiveness using machine learning computer vision.

Raspberry Pi self-driving car that finds its way through ADAS

Project 1 : ADAS Features on 4-Wheel Drive Smart Car for Raspberry Pi Project 2 : LiDAR data classification using Pretrained Neural Net

OPEN ADAS Lane detection system v1. Implements OpenCV. non learning platforms. Average accuracy and latency.

CANoe, V-Studio, TSR, ADAS Systems

A Vanilla LSTM model is used to predict distance to preceding vehicles using data from a Video Logging Tool (VLT)

This repository is for DDW(Driver Drowsiness Warning Computer Vision Project) using Facial Detectors(DLIB)

Vehículo Inteligente basado en Inteligencia Artificial

we are building level 2 autonomous systems for self driving car

ADAS 및 자율주행 관련 논문들을 간략하게 정리하는 페이지입니다. 최근 해당 도메인에 많은 관심을 갖고있어서 정리하고 있습니다.