Sunnyvale, CA, United States of America

Hang Yan

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.5

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Hang Yan in Autonomous Vehicle Technology.

Introduction

Hang Yan is an accomplished inventor based in Sunnyvale, California. She has made significant contributions to the field of autonomous vehicle technology, holding 2 patents that focus on enhancing the capabilities of self-driving cars. Her work is instrumental in advancing the safety and efficiency of autonomous systems.

Latest Patents

One of her latest patents is titled "Multi-frame temporal aggregation and dense motion estimation for autonomous vehicles." This method involves obtaining input data from various sensors associated with an autonomous vehicle, including camera and radar data. The processing device extracts multiple sets of bird's-eye view (BEV) features corresponding to different timesteps. The generated object flow allows for modifications to the driving path of the autonomous vehicle based on the detected objects.

Another notable patent is "Object identification in bird's-eye view reference frame with explicit depth estimation co-training." This invention enables efficient detection and classification of objects using machine learning models that utilize a bird's-eye view representation. The system processes images to identify objects by generating feature vectors and depth distributions, enhancing the accuracy of object recognition in autonomous vehicles.

Career Highlights

Hang Yan is currently employed at Waymo LLC, a leader in autonomous vehicle technology. Her innovative work has positioned her as a key player in the development of advanced driving systems.

Collaborations

She collaborates with talented individuals in her field, including Vasiliy Igorevich Karasev and Daniel Rudolf Maurer. Their combined expertise contributes to the success of their projects at Waymo.

Conclusion

Hang Yan's contributions to autonomous vehicle technology through her patents demonstrate her commitment to innovation and safety in transportation. Her work continues to influence the future of self-driving cars and their integration into everyday life.

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