Self Driving Car Neural Network
Self Driving Car Neural Network
AI Project
View Detail
A project exploring artificial intelligence and self-driving cars using a neural network with NEAT in Python.
- Type
- AI Project
- Role
- AI Developer
- Service
- Artificial Intelligence / Neural Networks / Simulation
- Year
- 2025
Project Overview
Welcome to the Self Driving Car Neural Network project!
This project explores the exciting world of artificial intelligence and autonomous vehicles by using a neural network with NEAT (NeuroEvolution of Augmenting Topologies) to train cars to drive themselves inside a simulated environment.
The simulation is powered by Python and Pygame, where virtual cars learn to avoid obstacles and navigate a track using evolutionary algorithms.
Key Features
- Neural Network with NEAT: Cars evolve their driving strategies over generations.
- Simulation Environment: Built with Pygame for visual testing and validation.
- Adaptive Learning: Each car improves by evolving weights and structures of neural networks.
- Modular Codebase: Easy to extend with different track layouts or more complex behaviors.
Technologies Used
- Python: Core programming language.
- NEAT-Python: For evolving neural networks.
- NumPy: Efficient numerical computations.
- Pygame: For building the simulation environment.
- SciPy: For additional scientific computing utilities.
Installation & Usage
To run the project, install the dependencies:
pip install neat-python==0.92 numpy==1.26.1 pygame==2.5.2 scipy==1.11.3