Self Driving Car with Javascript

This repository contains the code that was developed during the Self-driving car (no libraries) JavaScript course.

Overview

The code is organized into nine parts, each corresponding to a specific topic in the course. The parts are as follows:

• Car driving mechanics: This part focuses on implementing the basic mechanics for the car to move and turn.

• Road definition: Here, the road is defined and its boundaries are set. This allows the car to stay on the road while driving.

• Artificial sensors: Artificial sensors are added to the car, allowing it to "see" the road ahead and avoid obstacles.

• Collision detection: In this part, collision detection is implemented so that the car can detect and avoid obstacles.

• Traffic simulation: Traffic is simulated so that the car can interact with other cars on the road.

• Neural network: A neural network is created to train the car to drive itself.

• Visualizing neural networks: The neural network is visualized so that it can be analyzed and optimized.

• Optimizing neural networks: The neural network is optimized to improve the car's driving performance.

• Fine-tuning: Finally, the car is fine-tuned to achieve optimal driving performance.

Usage

To use the code, simply clone this repository to your local machine and open the relevant part in your preferred code editor. Each part is self-contained, so you can work on them independently. Detailed instructions are provided in each part's README file.