self-driving-car-sim
A Unity-based simulator for training self-driving car models using deep learning.
What is self-driving-car-sim?
Udacity's Self-Driving Car Simulator is a Unity-based virtual environment designed to train and test deep learning models for autonomous vehicle navigation. It provides realistic road courses where users can collect driving data, implement control algorithms, and validate self-driving behaviors. The simulator was created as a hands-on educational tool for Udacity's Self-Driving Car Nanodegree program.
Students and developers enrolled in autonomous vehicle courses or those learning deep learning applications for robotics. It's particularly aimed at learners in Udacity's Self-Driving Car Nanodegree seeking practical experience with AI-driven navigation.
It offers a risk-free, customizable platform for experimenting with self-driving algorithms without physical hardware. The simulator integrates directly with educational curricula, providing pre-built tracks and extensible scripts for iterative model development.
Overview
A self-driving car simulator built with Unity
Use Cases
Best For
- Learning autonomous vehicle navigation algorithms
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