The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

System Design for Autonomous Vehicles with Drago Anguelov - #454

Feb 8, 2021

Drago Anguelov, Distinguished Scientist and Head of Research at Waymo, dives into the exciting world of autonomous vehicles. He shares insights on the significant advancements in AV technology and the focus on achieving level 4 driving capabilities. Drago breaks down critical ML use cases like Perception and Simulation, showcasing how Waymo’s fully autonomous systems are performing in Phoenix. He also discusses the socioeconomic impacts of self-driving cars and the potential influence of AV systems on future enterprise machine learning.

50:52

Creator website

Episode guests

Dragomir Anguelov

AI Chapters

Episode notes

Intro

2min

Journey to Autonomous Vehicles

17min

Enhancing Autonomous Vehicle Perception

9min

Navigating Sensor Fusion in Autonomous Vehicles

8min

Designing for Autonomy: Challenges and Innovations

14min

Reflecting on Autonomous Vehicle Innovations

2min

Today we’re joined by Drago Anguelov, Distinguished Scientist and Head of Research at Waymo.

In our conversation, we explore the state of the autonomous vehicles space broadly and at Waymo, including how AV has improved in the last few years, their focus on level 4 driving, and Drago’s thoughts on the direction of the industry going forward. Drago breaks down their core ML use cases, Perception, Prediction, Planning, and Simulation, and how their work has lead to a fully autonomous vehicle being deployed in Phoenix.

We also discuss the socioeconomic and environmental impact of self-driving cars, a few research papers submitted to NeurIPS 2020, and if the sophistication of AV systems will lend themselves to the development of tomorrow’s enterprise machine learning systems.

The complete show notes for this episode can be found at twimlai.com/go/454.