Macomb, MI, United States of America

Michelle Greb

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2021

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2 patents (USPTO):Explore Patents

Title: Michelle Greb - Innovator in Autonomous Vehicle Technology

Introduction

Michelle Greb is a prominent inventor based in Macomb, MI (US). She has made significant contributions to the field of autonomous vehicle technology, holding 2 patents that focus on enhancing the safety and efficiency of vehicle operation.

Latest Patents

Her latest patents include a "Transition governance system and method for autonomous vehicle" and a "Driver re-engagement assessment system for an autonomous vehicle." The first patent provides a method for transitioning from an autonomous driving mode to a manual driving mode. This method involves comparing steering device input angles to autonomously controlled steering angles to determine steering angle errors. It also assesses acceleration or deceleration inputs to ensure a smooth transition to manual control based on a calculated confidence level factor. The second patent outlines a driver re-engagement assessment system that includes a controller, user interface, and test execution module. This system is designed to evaluate an occupant's performance during a re-engagement test, ensuring that manual control is safely assumed by the driver.

Career Highlights

Michelle Greb works at Steering Solutions IP Holding Corporation, where she continues to innovate in the automotive sector. Her work focuses on improving the interaction between automated systems and human drivers, which is crucial for the future of transportation.

Collaborations

She collaborates with notable colleagues such as Patrik M Ryne and Michael Story, contributing to a dynamic team dedicated to advancing vehicle technology.

Conclusion

Michelle Greb's work in autonomous vehicle technology exemplifies her commitment to innovation and safety in transportation. Her patents reflect a deep understanding of the complexities involved in transitioning between automated and manual driving modes.

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