Building the Future of Autonomous Vehicles
Phase 1
The Car
First Step in Building the Future of Autonomous Vehicles
Explore the exciting world of self-driving cars through our simulation project. Witness the integration of neural networks and machine learning to simulate real-life driving scenarios.
Key Features:
Get Started:
Clone the repository, In the "main project" Folder start the "self_driving_car.html", and experience the future of autonomous driving throw visually seeing how the car learning inside the simulation.
I Have tried to Describe Every "Class" used, Every "Method", Every "Function", and what and why is it used for.
Experience a simulation environment that closely mirrors real-world driving scenarios, providing a foundation for diverse driving conditions.
Witness the integration of a lightweight JavaScript neural network library, enabling the car to make informed driving decisions based on simulated sensor data.
Explore a user interface designed for easy monitoring of the simulation. Adjust neural network parameters and observe the car's behavior in real-time.
This self-driving car simulation project was inspired by the vision of creating a hands-on learning experience in the field of autonomous vehicles. The project timeline includes in-depth research, development, and iterative improvements to ensure a comprehensive understanding of neural networks and their application in a simulated driving environment.
This project serves as a Portfolio Project for ALX Africa (Holberton School) S.E, showcasing the skills and creativity of the development team.
Team Members:
GitHub Repository: Self-Driving Car Project Repository
This self-driving car simulation project was inspired and Created Following "COURSES", "Research Papers", "youtube" playlists.
COURSES and Videos:
GitHub Repository: Self-Driving Car Project Repository