Keynote
Monday, June 30
08:45 AM - 09:15 AM
Live in San Francisco
Less Details
McAllister explores the latest advancements in forecasting and planning for AVs. He examines how AI and machine learning enhance predictive algorithms, the role of real-time data in improving situational awareness, and innovative approaches to strategic path planning. Gain insights into the technologies and methodologies driving the future of autonomous driving.
Rowan is a research scientist working on machine learning methods for autonomous vehicle (AV) planning at Waymo. Previously, Rowan obtained his PhD in machine learning at the University of Cambridge; worked on AVs at Uber, Toyota, and UC Berkeley; and enjoys organizing academic workshops on AVs.
The Pop in Your Job – What drives you? Why do you love your job?
Working on autonomous vehicles is the best job in the world: a visible deployment of robots in the real world, embodied AIs that anyone can use and interact with, to improve road safety for everyone, while continually posing new and technically interesting problems to solve.