Experts working on autonomous vehicles will discuss the rapid pace of research and innovation in machine learning, highlighting the most exciting developments in recent years and how they plan to safely integrate the constant advances into an autonomous vehicle. The panelists are industry leaders working at NVIDIA, Tesla, Waymo and Wayve. They will also discuss the unique approaches each OEM is taking to leverage machine learning in their self-driving stack, with some using end-to-end learning and others preferring modular learning, and the pros and cons of each method. They will also discuss best practices for integrating complex sensor suites, software, data management and machine learning with engineering. Other challenges they will address include collecting large amounts of data, managing and labeling datasets, integrating ML models with the rest of the self-driving stack, and continuously improving the driver. They will also discuss the critical role of simulation in development, and the current state of self-driving cars and the toughest challenges they face today, including rapidly scaling to new environments.

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