Pleasanton, CA, United States of America

Logan Michael Ellis


Average Co-Inventor Count = 4.2

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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4 patents (USPTO):

Title: Logan Michael Ellis: Innovator in Vehicle Control Systems

Introduction

Logan Michael Ellis is a prominent inventor based in Pleasanton, CA (US). He has made significant contributions to the field of vehicle control systems, holding a total of 4 patents. His innovative work focuses on enhancing the safety and efficiency of autonomous driving technologies.

Latest Patents

Logan's latest patents include a "Driver-centric model predictive controller," which outlines a method for controlling a vehicle based on a velocity profile constrained by various acceleration parameters. This method allows for adjustments in real-time when an object approaches the vehicle, ensuring safer navigation. Another notable patent is "Planning-aware prediction for control-aware autonomous driving modules." This invention involves generating an output trajectory for an ego vehicle by analyzing trajectory data and updating motion prediction models based on discrepancies caused by pedestrian agents. This advancement aims to improve the decision-making capabilities of autonomous vehicles in complex traffic environments.

Career Highlights

Throughout his career, Logan has worked with esteemed organizations such as the Toyota Research Institute and the University of California. His experience in these institutions has allowed him to collaborate on cutting-edge research and development projects that push the boundaries of vehicle technology.

Collaborations

Logan has collaborated with notable professionals in his field, including Huihua Zhao and Avinash Balachandran. These partnerships have contributed to the success of his innovative projects and have fostered a collaborative environment for advancing vehicle control systems.

Conclusion

Logan Michael Ellis is a key figure in the realm of vehicle control innovations. His patents and career achievements reflect his dedication to improving autonomous driving technologies. His work continues to influence the future of transportation safety and efficiency.

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