San Francisco, CA, United States of America

Kathryn Alexis Tuason


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Kathryn Alexis Tuason: Innovator in Autonomous Vehicle Technology

Introduction

Kathryn Alexis Tuason is a prominent inventor based in San Francisco, CA. She has made significant contributions to the field of autonomous vehicle technology, holding a total of 3 patents. Her innovative work focuses on enhancing the functionality and efficiency of autonomous vehicles.

Latest Patents

One of her latest patents is for a dynamic route adjustment system in autonomous vehicles. This invention includes a vehicle propulsion system, a braking system, a steering system, and a computing system. The computing system is equipped with a processor and memory that stores computer-executable instructions. These instructions enable the processor to select a route for a passenger traveling to a destination. The route is chosen from multiple potential routes based on the passenger's preferences and aggregate ride quality feedback from other passengers in the fleet. The processor is also designed to control the vehicle's propulsion, braking, or steering systems to navigate the selected route effectively.

Career Highlights

Throughout her career, Kathryn has worked with notable companies such as GM Global Technology Operations LLC and GM Cruise Holdings LLC. Her experience in these organizations has allowed her to develop and refine her innovative ideas in the automotive sector.

Collaborations

Some of her coworkers include Stephanie Olivia Engle and Bradley David Ryan. Their collaboration has contributed to the advancement of technology in the field of autonomous vehicles.

Conclusion

Kathryn Alexis Tuason is a trailblazer in the realm of autonomous vehicle technology, with her patents reflecting her commitment to innovation and improvement in transportation. Her work continues to influence the future of autonomous systems.

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