In this engaging discussion, Drago Anguelov, VP of AI foundations at Waymo, sheds light on the groundbreaking integration of foundation models in autonomous driving. He explains how Waymo harnesses large-scale machine learning and multimodal sensor data to enhance perception and planning. Drago also addresses safety measures, including rigorous validation frameworks and predictive models. The conversation dives into the challenges of scaling these models across diverse driving environments and the future of AV testing through sophisticated simulations.

Dragomir Anguelov from Waymo discusses the future of autonomous driving, highlighting advancements in machine learning, challenges of scaling complex systems, and breakthroughs in deploying robotaxis. He explores the evolution of neural networks and the convergence of AI, robotics, and transportation for developing safe and reliable self-driving cars.

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.