San Jose, CA, United States of America

Ryan Burt


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: Innovations by Ryan Burt in Autonomous Vehicle Technology

Introduction

Ryan Burt is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of autonomous vehicle technology, particularly in the area of passenger behavior monitoring. With a total of two patents to his name, Burt is recognized for his innovative approaches to enhancing vehicle safety and passenger experience.

Latest Patents

One of Ryan Burt's latest patents is a system and method for detecting abnormal passenger behavior in autonomous vehicles. This invention discloses a method and system for monitoring passengers within a vehicle cabin and determining whether they are engaging in abnormal behavior. The system employs a novel vector, referred to as an 'activity vector,' to robustly and numerically represent passenger activity in respective frames. Additionally, a Gaussian Mixture Model is utilized to distinguish between normal and abnormal behavior. The model's cluster components are learned using an unsupervised approach, allowing for training without labeled data, which significantly reduces costs.

Career Highlights

Ryan Burt is currently employed at Robert Bosch GmbH, where he continues to develop innovative solutions in the automotive sector. His work focuses on enhancing the safety and functionality of autonomous vehicles through advanced monitoring systems.

Collaborations

Ryan collaborates with talented colleagues, including Yumi Kondo and Krishnan Bharath Navalpakkam, who contribute to the development of cutting-edge technologies in their field.

Conclusion

Ryan Burt's contributions to the field of autonomous vehicle technology demonstrate his commitment to innovation and safety. His patents reflect a forward-thinking approach that addresses critical challenges in passenger monitoring.

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