🚗 Qcar - Autonomous Vehicle Control System

Qcar is a comprehensive autonomous vehicle control system that integrates various components including LiDAR processing, computer vision, and control systems for autonomous navigation.

📋 Table of Contents

• Project Overview
• Directory Structure
• Key Features
• Requirements
• Installation
• Usage
• Contributing
• Contact

🎯 Project Overview

This project implements an autonomous vehicle control system with the following key components:

• 🔍 LiDAR data processing and visualization
• 👁️ Computer vision and deep learning models for object detection
• 🛣️ Autonomous lane following and navigation
• 🎮 Hardware integration with Logitech steering wheels and keyboards
• 🔄 Real-time sensor fusion and processing

📁 Directory Structure

Qcar/
├── Demos/
│   ├── lidarThread.py
│   ├── testingGPU.py
│   ├── TestFusion.py
│   ├── LidarAndModel.py
│   ├── AutonomousLaneLoop.py
│   └── Models/
├── LogitechWheelPrograms/
├── KeyboardPrograms/
└── LidarStuff/

Demos/

• lidarThread.py: LiDAR data processing and visualization
• testingGPU.py: GPU acceleration testing
• TestFusion.py: Sensor fusion testing
• LidarAndModel.py: Integration of LiDAR with deep learning models
• AutonomousLaneLoop.py: Autonomous lane following implementation
• Models/: Contains trained deep learning models

Other Directories

• LogitechWheelPrograms/: Programs for Logitech steering wheel integration
• KeyboardPrograms/: Keyboard control programs
• LidarStuff/: LiDAR-related processing and utilities

✨ Key Features

• ⚡ Real-time LiDAR data processing and visualization
• 🚀 GPU-accelerated computer vision processing
• 🤖 Autonomous lane following capabilities
• 🎮 Integration with Logitech steering wheels for manual control
• 🔄 Sensor fusion for robust perception
• 🧠 Deep learning model integration for object detection

📦 Requirements

• Python 3.x
• PyTorch
• OpenCV
• NumPy
• Matplotlib
• Logitech SDK (for wheel integration)
• LiDAR drivers and SDK

🛠️ Installation

1. Clone the repository:

git clone https://github.com/yourusername/Qcar.git
cd Qcar

2. Install required dependencies:

pip install -r requirements.txt

3. Install Logitech SDK (if using wheel control)
4. Install LiDAR drivers and SDK

🚀 Usage

Running Demos

1. LiDAR Visualization:

python Demos/lidarThread.py

2. Autonomous Lane Following:

python Demos/AutonomousLaneLoop.py

3. Testing GPU Acceleration:

python Demos/testingGPU.py

Control Options

• 🎮 Use Logitech steering wheel for manual control
• ⌨️ Keyboard control options available
• 🤖 Autonomous mode with lane following

🤝 Contributing

Contributions are not supported. This repository serves as an archive for our work in 2023-2025.

📞 Contact

With any questions or concerns regarding this project, to be placed in contact with the current project lead please reach out to Professor Wang at CPP: [email protected]