Drago Anguelov — Robustness, Safety, and Scalability at Waymo

Drago Anguelov is a Distinguished Scientist and Head of Research at Waymo, an autonomous driving technology company and subsidiary of Alphabet Inc. We begin by discussing Drago's work on the original Inception architecture, winner of the 2014 ImageNet challenge and introduction of the inception module. Then, we explore milestones and current trends in autonomous driving, from Waymo's release of the Open Dataset to the trade-offs between modular and end-to-end systems. Drago also shares his thoughts on finding rare examples, and the challenges of creating scalable and robust systems. Show notes (transcript and links): http://wandb.me/gd-drago-anguelov --- ⏳ Timestamps: 0:00 Intro 0:45 The story behind the Inception architecture 13:51 Trends and milestones in autonomous vehicles 23:52 The challenges of scalability and simulation 30:19 Why LiDar and mapping are useful 35:31 Waymo Via and autonomous trucking 37:31 Robustness and unsupervised domain adaptation 40:44 Why Waymo released the Waymo Open Dataset 49:02 The domain gap between simulation and the real world 56:40 Finding rare examples 1:04:34 The challenges of production requirements 1:08:36 Outro --- Connect with Drago & Waymo