From big scale point cloud registration to globally available HD Maps

Abstract

HD Maps have become a part of autonomous driving ecosystem and they play important role in this world. We see some companies creating high quality HD maps and other companies that use those maps to perform successful drives in fully autonomous mode. However, when we think about turning from test drives into day to day usage of production ready self-driving cars, we must figure out how to create HD maps at global scale and how to maintain them and keep up to date. In the talk we will discuss challenges that arise when we turn from preparing small HD map sample into global scale map creation process and about technics like deep learning and SLAM that help to reach these challenging goals.