Practical AI Getting Waymo into autonomous driving
Sep 1, 2020
Drago Anguelov, Principal Scientist and Head of Research at Waymo, discusses his journey from machine learning at Stanford to leading advancements in autonomous driving. He explores the integration of diverse sensors like LiDAR and radar for environmental perception. Drago highlights the importance of collaboration with regulators to address community needs and shares insights on how machine learning adapts to various driving conditions. Finally, he envisions a future where autonomous vehicles significantly enhance safety and urban transportation, making travel easier for everyone.
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Pittsburgh Mishap
- Drago Anguelov's journey to Waymo began with a PhD at Stanford, focusing on machine learning and perception.
- While collecting robotics data in Pittsburgh, he short-circuited the main robot.
Path to Waymo
- Drago Anguelov's career progression involved computer vision, 3D perception, and work at Google before joining Waymo.
- His work on Google Street View gave him deep experience in areas crucial for self-driving technology.
State of Self-Driving
- The self-driving industry is rapidly progressing, with Waymo offering thousands of rides weekly in Phoenix.
- Scaling the technology to diverse areas and rare events remains a challenge.