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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
🧬 Training the car to do self-parking using a genetic algorithm
| Date | Stars |
|---|---|
| 2026-07-24 | 760 |
| 2026-07-25 | 760 |
| 2026-07-28 | 760 |
| 2026-07-30 | 760 |
| 2026-08-06 | 760 |
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# 🧬 Self-Parking Car Evolution Training the car to do self-parking using a genetic algorithm. > - 🚕 [Launch the demo](https://trekhleb.dev/self-parking-car-evolution) > - 📃 [Read about how it works](https://trekhleb.dev/blog/2021/self-parking-car-evolution/) [](https://trekhleb.dev/self-parking-car-evolution) This is an experimental project with the aim to learn the basics of how [genetic algorithm](https://en.wikipedia.org/wiki/Genetic_algorithm) works by teaching the cars to do the self-parking. The evolution process is happening directly in the browser. You may check the [evolution source-code](https://github.com/trekhleb/self-parking-car-evolution/tree/master/src/libs) (in TypeScript) or read the [explanation of how it works](https://trekhleb.dev/blog/2021/self-parking-car-evolution/) in my blog-post. **At the beginning of the evolution** the generation of cars has random genomes which make them behave something like this:  **On the 40th generation** the cars start learning what the self-parking is and start getting closer to the parking spot (although hitting the other cars along the way):  Another example with a bit more challenging starting point:  ## Genetic Source-Code The `≈92%` of the code in this repository relates to the UI logic (3D simulation of the cars world, form controls for the evolution training process, etc.). However, the actual [code that implements a genetic algorithm](https://github.com/trekhleb/self-parking-car-evolution/tree/master/src/libs) takes less than `<500` lines of code. ## Development Details The project is a [React](https://create-react-app.dev/) application written on TypeScript. Styled with [BaseWeb](https://baseweb.design/). The 3D world simulation is made with [Three.js](https://threejs.org/) library using [@react-three/fiber](https://github.com/pmndrs/react-three-fiber) wrapper. The physics is simulated with [Cannon.js](https://github.com/schteppe/cannon.js) using [cannon-es](https://github.com/pmndrs/cannon-es) wrapper. The whole evolution simulation is happening directly in the browser. To launch the project, fork/clone it and run the following commands: ```shell npm install npm run start ``` The website will be available on `http://localhost:3000/self-parking-car-evolution`. **Hints:** - You may upload one of the [pre-trained checkpoints](https://github.com/trekhleb/self-parking-car-evolution/tree/master/src/checkpoints) to avoid starting the evolution from scratch. - Use the `?debug=true` URL param to see the FPS performance monitor and debugging logs in the console (i.e. `http://localhost:3000/self-parking-car-evolution?debug=true`). - Training progress is being saved to the local storage for each generation (not for each batch/group). ## Author - [@trekhleb](https://trekhleb.dev)
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Oleksii Trekhleb · Uber
493
Martin Costello · @grafana · United Kingdom
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:4ac26e6d39e046d3, topic:self-driving-car