Production Challenges
Dragomir shares his journey from research to production, highlighting the unexpected complexities that arise when scaling solutions for autonomous vehicles. He reflects on his early experiences with camera calibration, emphasizing that even well-tested systems can encounter numerous unforeseen challenges once deployed in real-world scenarios. The conversation reveals the importance of adaptability and thorough testing in machine learning applications.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Drago Anguelov — Robustness, Safety, and Scalability at Waymo
Related Questions