DriveCore – Modular RC Vehicle Control & AI Framework

DriveCore is a modular and scalable platform designed for controlling RC vehicles, with the potential for AI-powered autonomy. Built using Python, OpenCV, and a Raspberry Pi, DriveCore serves as the foundation for both manual and automated vehicle operation, integrating computer vision, sensor fusion, and remote control capabilities.

Key Features

• Python-Based Framework – Simplifies development and customization.
• Raspberry Pi Integration – Acts as the central computing unit for real-time processing.
• OpenCV for Computer Vision – Enables object detection, lane tracking, and obstacle avoidance.
• Wireless Control – Supports remote driving via web interfaces or game controllers.
• AI & Machine Learning Ready – Designed to incorporate neural networks and autonomous decision-making in future updates.
• Scalable & Modular – Extendable with LiDAR, GPS, additional sensors for advanced navigation.
• Client Application – Built with PySide6 for a user-friendly interface.

Future Enhancements

• Reinforcement Learning for self-driving AI
• Edge Computing with TensorFlow Lite
• Advanced SLAM (Simultaneous Localization and Mapping)

DriveCore is built for enthusiasts, researchers, and developers looking to expirement with AI-driven RC control. Whether experimenting with computer vision, autonomous navigation, or real-time control, DriveCore provides the flexibility to explore multiple concepts.

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Current Version: 1.3.0 - "Control System & Communication Layer" for D-14

• D-14 Client and Host Section

Important Notes

• The program becomes unstable after multiple disconnects and reconnects.

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Vehicles:

• D-14
• Probe-33 (New vehicle in progress..)

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Getting Started

Clone the Repository

git clone https://github.com/HalfasleepDev/DriveCore.git cd DriveCore

Install Dependencies

pip install -r requirements.txt

• For host and client.

Configure RC Car Control Server

• Create DriveCore folder on the Raspberry Pi.
• Create a python venv.
• Copy drive-core-host.sh, driveCoreHost.py, driveCoreNetwork.py,coreFunctions.py, settings.json, and udpHostProtocols.py to the raspberry pi's folder called DriveCore.

Run the RC Car Control Server

cd Drivecore sudo ./drive-core-host.sh

• Wait a minute or so for the system to start broadcasting.

Launch the Client Application

python3 DriveCore/D-14/Client-Side/client-app/main.py

• Log into the Control Server using the configured credentials set in DriveCore/settings.json on the Raspberry pi.

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System Requirements

• Raspberry Pi 4 or later (2+ gb of ram)
• Python 3.7+
• PySide6 for the client application
• OpenCV for computer vision processing
• pigpio daemon running

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Tests

To run unit tests for DriveCore: DriveCore/D-14/pytest-tests/ TBD

OpenCV testing section: OpenCv General Testing (D-14)

GUI Prototype section: GUI General Prototypes (D-14)

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License

This project is licensed under the MIT License.

Links

• Project Wiki: DriveCore Docs TBD
• GitHub Repository: DriveCore

DriveCore is designed to provide a scalable platform for remote-controlled and autonomous vehicle operation. Whether for research, experimentation, or hobbyist projects, DriveCore offers a solid foundation for developing intelligent RC vehicles.