overt[AI]king

This is a self-driving car simulation built using JavaScript with no libraries. The cars use a basic neural network to make decisions based on the input from the sensors.

How to Play

• Cars moves forward automatically.
• Visualize the sensors on the front of the car & the neural network on the right side of the screen.
• Save the best car model by clicking the 💾 Save button.
• Delete the saved model by clicking the 🗑️ Delete button.
• Restart the game by clicking the ↻ Restart button. It will use a saved model if available.
• Choose your preferred racing team with the top dropdown.

Load a Pre-Trained Model

Follow these steps to add a key-value pair to your browser local storage.

1. Open the Web Page:

   • Live url: https://ngopimas.github.io/overtAIking/

2. Open the Browser Console:

   • Press F12 or Ctrl+Shift+I (Windows/Linux) or Cmd+Option+I (Mac) to open the developer tools.
   • Go to the "Console" tab.

3. Insert the Following Code:

   const key = 'bestCar'
   const value = {"levels":[{"inputs":[0,0,0,0,0.3184778655937832],"outputs":[1,1,0,1,0,0],"biases":[-0.09101998863591773,-0.3134285761018806,0.048069572988299,-0.19392853902492707,0.04607013744129699,0.39785124466947297],"weights":[[-0.44181144035394876,-0.020587869434841387,0.22612812858936354,-0.011462274843862329,-0.2641818632911116,-0.32300239917929907],[0.16821881436230135,-0.36849103809514133,0.014328529632692932,0.36810851605819295,-0.1767936329005123,-0.28964616568508944],[-0.1063600297374241,-0.11552334109675848,0.14742291206920866,0.3198338818136533,-0.14997940155764317,0.20090692511785768],[0.034956753575206674,0.04305423986277622,0.1587108083835079,-0.24345969774019985,0.05684137287313741,-0.37289143479138837],[0.17181269594781534,0.20581706272256217,0.13892610409717415,0.21477776307612967,-0.2257936628739376,-0.29959391548260106]]},{"inputs":[1,1,0,1,0,0],"outputs":[1,1,1,0],"biases":[-0.2240824142943649,0.1527097727922228,-0.2806828607808831,0.1860438198483803],"weights":[[0.020780120577217412,0.4002989241449479,-0.4778884303356248,0.035301291270861526],[-0.03536496927310443,-0.34606169921413604,0.3395019415765539,-0.08844486030699936],[-0.08013196218969684,-0.19871411361970065,-0.26323226185899956,-0.0925649866106519],[0.01616942475577693,0.3078402616612731,-0.016830239235824856,0.13266843642946938],[0.00263524363156456,-0.08318406965751744,-0.011691287796070454,0.20567565568357654],[0.31438211220587164,0.04203468995046224,0.37898471239414955,0.02189503185439498]]}]};
   
   localStorage.setItem(key, JSON.stringify(value));

4. Viewing Local Storage in DevTools:

   • Go to the Application tab in developer tools.
   • Under Storage, click on Local Storage.
   • Select the proper page from the dropdown, and you should see the key and value you just added.

5. Removing the Model:

   • If you want to remove the pre-trained model directly from the local storage, run the following code in the console:

   localStorage.removeItem('bestCar');

   • You might prefer to use the 🗑️ Delete button in the web page instead.

Credits

Based on https://github.com/gniziemazity/Self-driving-car