A full day tutorial covering all aspects of self-driving. This tutorial will provide the necessary background for understanding the different tasks and associated challenges, the different sensors and data sources one can use and how to exploit them, as well as how to formulate the relevant algorithmic problems such that efficient learning and inference is possible. We will first introduce the self-driving problem setting and the existing solutions both top down from a high level perspective and bottom up from technology and algorithm specific manner in a detailed fashion. We will then extrapolate from the state of the art and discuss where the challenges and open problems are, and where we need head towards to provide a scalable, safe and affordable self-driving solution.
All times are in Pacific Daylight Time (PDT).
Lunch Break 🥪
Discussion and Q/A