Deep Learning in Mapping for Autonomous Driving

The applications of deep learning has been explored in various components throughout the autonomous driving stack, for example, in perception, prediction, and planning. Deep learning can also be used in mapping, a critical component for higher-level autonomous driving. Having accurate maps is essential to the success of autonomous driving for routing, localization as well as to ease perception. Maps with varying degrees of information can be obtained through subscribing to the commercially available map service. However, in areas where maps are not available, self-driving vehicles need to rely on their own map building capability to ensure the functionality and safety of autonomous driving.