Hamburg, Germany

Olaf Koerner

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 6.1

ph-index = 2

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2013-2017

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3 patents (USPTO):Explore Patents

Title: Innovations of Inventor Olaf Koerner

Introduction

Olaf Koerner is a notable inventor based in Hamburg, Germany. He has made significant contributions to the field of sensor technology, holding a total of 3 patents. His work focuses on enhancing the reliability and accuracy of sensor signals, which are crucial in various applications.

Latest Patents

One of his latest patents involves a method for checking the plausibility of sensor signals. In this method, a first sensor element detects a physical quantity and outputs it as a first sensor signal. A second sensor element detects a correlated physical quantity and outputs it as a second sensor signal. The first sensor element has a reliability range related to the second physical quantity. The first physical quantity is deemed plausible if the second physical quantity lies within the corresponding reliability range. Another patent describes a method for generating information indicating an airborne state for a vehicle. This method includes receiving a rotational speed signal from a drive wheel and generating information based on a comparison with reference profiles.

Career Highlights

Olaf Koerner has worked with prominent companies such as Robert Bosch GmbH and Volvo Car Corporation. His experience in these organizations has allowed him to develop innovative solutions that address real-world challenges in vehicle technology and sensor applications.

Collaborations

Throughout his career, Olaf has collaborated with talented individuals, including Christian Korn and Stephan Rittler. These partnerships have contributed to the advancement of his projects and innovations.

Conclusion

Olaf Koerner's contributions to sensor technology and vehicle state detection demonstrate his commitment to innovation. His patents reflect a deep understanding of the complexities involved in sensor reliability and vehicle dynamics.

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