Bremen, Germany

Norbert Härle

This inventor holds 1 USPTO granted patent. Top assignee: Rheinmetall Defence Electronics Gmbh. Active years: 2006.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Norbert Härle. Retrieved from https://idiyas.com/inventor/norbert-härle

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 1.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2006

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1 patent (USPTO):Explore Patents

Title: Norbert Härle: Innovator in Magnetic Field Sensor Technology

Introduction

Norbert Härle is a prominent inventor based in Bremen, Germany. He has made significant contributions to the field of magnetic field sensor technology. His innovative approach has led to the development of a unique method for determining and tracking the position and orientation of magnetic field sensors.

Latest Patents

Norbert Härle holds a patent for a method that enhances the accuracy of magnetic field sensors. The patent, titled "Method for determining and tracking the position and orientation of a magnetic field sensor," outlines a process that structures the magnetic field space into a three-dimensional grid during a calibration mode. This method allows for precise tracking of the sensor's position and orientation by utilizing a calibration table that stores measured values.

Career Highlights

Norbert is currently employed at Rheinmetall Defence Electronics GmbH, where he applies his expertise in developing advanced electronic systems. His work focuses on improving the functionality and reliability of magnetic field sensors, which are crucial in various applications, including navigation and robotics.

Conclusion

Norbert Härle's contributions to magnetic field sensor technology exemplify the impact of innovative thinking in engineering. His patented method not only enhances sensor accuracy but also showcases the potential for advancements in this field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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