As OEMs move from intense R&D to scaled production for advanced self-driving systems, the key to continuously improving system performance is creating a data engine. Data engines leverage the scale of production fleets to detect system failures in real-time and iteratively improve ML performance.
In this talk, Ben Levin and Kate Park will discuss industry-leading data engines, how to enable data engines with modern production sensor suites, and how leading OEMs can leverage data engines to reach production quality in complex driving scenarios.