Seattle, WA, United States of America

Fangkai Yang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.9

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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2 patents (USPTO):Explore Patents

Title: Fangkai Yang: Innovator in Autonomous Vehicle Technology

Introduction

Fangkai Yang is a prominent inventor based in Seattle, WA, known for his contributions to the field of autonomous vehicle technology. With a focus on enhancing the capabilities of machines in complex environments, Yang has secured 2 patents that reflect his innovative approach to future trajectory predictions and behavior planning for autonomous vehicles.

Latest Patents

Yang's latest patents include "Future trajectory predictions in multi-actor environments for autonomous machine" and "Behavior planning for autonomous vehicles in yield scenarios." The first patent addresses the application of deep neural networks to predict future trajectories of actors in an environment, utilizing past location information and map data. This technology aids ego-vehicles in navigating complex scenarios by generating predicted future trajectories based on tracked past movements. The second patent focuses on managing yield scenarios for vehicles, determining trajectories based on the positions of multiple vehicles to ensure safe navigation through yield areas.

Career Highlights

Fangkai Yang is currently employed at Nvidia Corporation, where he leverages his expertise in machine learning and autonomous systems. His work at Nvidia has positioned him at the forefront of innovation in the rapidly evolving field of autonomous vehicles.

Collaborations

Yang collaborates with notable colleagues, including David Nister and Rotem Aviv, who contribute to the advancement of technology in the autonomous vehicle sector.

Conclusion

Fangkai Yang's innovative patents and work at Nvidia Corporation highlight his significant contributions to the field of autonomous vehicle technology. His research and developments are paving the way for safer and more efficient navigation systems in complex environments.

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