Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

I Introduction

The increasingly pervasive application of machine learning for robotics has led to a growing need for annotation. Data has proven to be both the limiting factor and the driver of advances in computer vision, particularly within semantic scene understanding and object detection