San Jose, CA, United States of America

Yumi Kondo

USPTO Granted Patents = 2 

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Yumi Kondo: Innovator in Autonomous Vehicle Technology

Introduction

Yumi Kondo is a prominent inventor based in San Jose, CA (US). She has made significant contributions to the field of autonomous vehicle technology, particularly in the area of passenger behavior monitoring. With a total of 2 patents, her work is paving the way for safer and more efficient transportation systems.

Latest Patents

One of Yumi Kondo's latest patents is a system and method for detecting abnormal passenger behavior in autonomous vehicles. This innovative method involves monitoring passengers within the cabin of a vehicle to determine if they are engaging in abnormal behavior. The system utilizes a novel vector, referred to as an 'activity vector,' to robustly and numerically represent passenger activity in each frame. Additionally, a Gaussian Mixture Model is employed to distinguish between normal and abnormal behavior. This model is trained using an unsupervised approach, allowing it to learn from unlabelled data, which significantly reduces training costs.

Career Highlights

Yumi Kondo is currently employed at Robert Bosch GmbH, where she continues to develop cutting-edge technologies in the automotive sector. Her expertise in passenger behavior analysis is instrumental in enhancing the safety features of autonomous vehicles.

Collaborations

Yumi has collaborated with notable colleagues such as Ryan Burt and Krishnan Bharath Navalpakkam. Their combined efforts contribute to the advancement of innovative solutions in the field of autonomous driving.

Conclusion

Yumi Kondo's work in detecting abnormal passenger behavior in autonomous vehicles represents a significant advancement in automotive safety technology. Her contributions are essential for the future of transportation, ensuring that autonomous systems can effectively monitor and respond to passenger behavior.

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