Simulation of auto obstacle avoidance based on Unity machine learning

Abstract

This article mainly introduces the use of the TensorFlow platform, through the Unity 3d engine, a 3d rendering tool, to simulate a car in a 3d world using TensorFlow training and learning, which can avoid obstacles in front and stay in the lane by itself, thus realizing a private Unity 3d for machine learning Applications.