image thumbnail

GA-NN-Car

version 1.0.1 (422 KB) by Hesham Eraqi
A MATLAB simple interactive Reinforcement Learning environment for Evolutionary Neural Network-based car with a proximity sensor

375 Downloads

Updated 03 Apr 2019

From GitHub

View license on GitHub

This is a fully configurable MATLAB project that implements and provides simulation for vehicle self-learning of collision avoidance and navigation with a rangefinder sensor using an evolutionary artificial neural network. The neural network guides the vehicle around the environment and a genetic algorithm is used to pick and breed generations of more intelligent vehicles.
The vehicle uses a rangefinder sensor that calculates N intersections depths with the environment and then feeds these N values as inputs to the neural network. The inputs are then passed through a neural network and finally to an output layer of 2 neurons: a left and right steering force. These forces are used to turn the vehicle by deciding the vehicle steering angle.
Each vehicle represents a different chromosome in a generation (or a unique set weight for the neural net) which are evaluated and potentially carried through to the next generation by a fitness score. The fitness score has different definition in each of my three experiments for collision avoidance and navigation self-learning.

For more information visit this article: https://heraqi.blogspot.com/2015/12/NNCar.html
And read this paper: https://arxiv.org/abs/1609.08414, please cite it in your work.

Cite As

Hesham Eraqi (2021). GA-NN-Car (https://github.com/heshameraqi/GA-NN-Car), GitHub. Retrieved .

Eraqi, Hesham M., et al. “Reactive Collision Avoidance Using Evolutionary Neural Networks.” Proceedings of the 8th International Joint Conference on Computational Intelligence, SCITEPRESS - Science and Technology Publications, 2016, doi:10.5220/0006084902510257.

View more styles
MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.