bedis-elacheche/self-driving-car

A javascript simulation in which cars learn to navigate themselves through a track.

23
/ 100
Experimental

This simulation allows you to observe how virtual cars can learn to drive autonomously on a track. It takes sensor readings from the cars as input and uses a neural network to determine their acceleration and steering. This is useful for anyone interested in visualizing the core concepts behind self-driving car technology and AI training.

No commits in the last 6 months.

Use this if you want to understand and visualize the principles of neural networks and genetic algorithms in the context of autonomous navigation.

Not ideal if you are looking for a tool to develop or test production-ready self-driving car software or detailed physics simulations.

autonomous-vehicles machine-learning-visualization genetic-algorithms neural-networks AI-training-simulation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 10 / 25

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Stars

14

Forks

2

Language

JavaScript

License

Last pushed

Jun 24, 2021

Commits (30d)

0

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