Mapping for Autonomy
Dragomir emphasizes the importance of mapping in autonomous driving, highlighting its role as a prior that enhances safety and understanding of environments. He discusses the scalability of machine learning models, noting that larger datasets lead to better generalization and performance. The conversation reveals how diverse data from various driving scenarios can significantly improve the capabilities of autonomous vehicles.In this clip
From this podcast

Gradient Dissent - A Machine Learning Podcast
Drago Anguelov — Robustness, Safety, and Scalability at Waymo
Related Questions