Royal Oak, MI, United States of America

Thomas Zipfel


 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Thomas Zipfel - Innovator in Automated Driving Technology

Introduction

Thomas Zipfel is a notable inventor based in Royal Oak, MI (US). He has made significant contributions to the field of automated driving technology, particularly in the development of advanced braking systems. His innovative approach has the potential to enhance the safety and efficiency of autonomous vehicles.

Latest Patents

Thomas Zipfel holds a patent for a groundbreaking invention titled "Brake architecture for automated driving." This braking system operates independently of driver input, featuring a primary brake system and a secondary brake system. The primary controller manages fluid pressure in the primary brake system, while the secondary controller does the same for the secondary brake system. An actuator, part of the primary brake system, is controlled by the primary controller. Additionally, a reservoir supplies fluid to both brake systems, ensuring reliable braking capability for fully autonomous vehicles.

Career Highlights

Thomas Zipfel is currently employed at Continental Automotive Systems Corporation, where he continues to work on innovative automotive technologies. His expertise in braking systems has positioned him as a key player in the development of safer automated driving solutions.

Collaborations

Throughout his career, Thomas has collaborated with talented professionals, including Yuji Nakayasu and James Rizzo. These partnerships have fostered a creative environment that encourages the advancement of automotive technologies.

Conclusion

Thomas Zipfel's contributions to automated driving technology, particularly through his patented braking system, highlight his role as an influential inventor in the automotive industry. His work continues to pave the way for safer and more efficient autonomous vehicles.

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