dragonpilot - 基於 openpilot 的開源駕駛輔助系統

YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10

Learn to map surrounding vehicles onto a bird's eye view of the scene.

🚚 ETSAuto is an Advanced driver Assistance System applied in Euro Truck Simulator 2, performing the functions of Lane Centering Control (LCC) and Auto Lane Change (ALC).

A project to demonstrate lane detection with a front facing camera.

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

A benchmark towards generalizable reinforcement learning for autonomous driving.

ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc

ANOTHER openpilot fork running on legacy devices (EON / LEON / comma two)

Implementation of the Automatic Emergency Braking System using deep learning.

TSMaster Demo Program Source Code

A vehicle-pedestrian interaction framework for simulation.

Deep learning based Gaze detection model to control the mouse pointer of your computer

Driver Monitoring System by using deep learning model Gaze, Face detection, Face Landmark, and Head pose estimation.

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

Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning

A Reinforcement Learning based approach for Lane change assistance system

Enhance openpilot longitudinal control with an external radar add-on.

Convert FLIR formatted annotations to YOLO training format + Additional Directory tree formatting guide.

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.