Munich, Germany

Lutz Doebrich

This inventor holds 1 USPTO granted patent. Top assignee: Preh Gmbh. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lutz Doebrich. Retrieved from https://idiyas.com/inventor/lutz-doebrich

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lutz Doebrich and Adaptive-Capacitive Steering-Wheel Technology.

Introduction

Lutz Doebrich is an inventor associated with Munich, Germany, and Preh GmbH. His work includes a patented steering-wheel design that uses capacitive touch recognition.

Latest Patents

The supplied information lists 1 patent for Doebrich: “Steering wheel with adaptive-capacitive touch recognition, an associated assembly and motor vehicle.” The invention describes a steering wheel with a hub designed for detachable attachment to a vehicle’s steering shaft and a rim fixed to the hub. An electrode integrated into the rim detects touch capacitively, while an electrical connection outside the steering wheel applies a measuring potential and supports touch detection. A non-volatile data storage unit on or in the steering wheel is configured to be read by an external reading unit connected to the electronic evaluation unit.

Career Highlights

Doebrich’s listed patent focuses on integrating touch-sensing electrodes and data storage into a motor-vehicle steering wheel. The supplied information identifies Preh GmbH as his company.

Collaborations

Manfred Schneider is identified as Doebrich’s coworker. The available information does not specify their roles or describe a particular joint project.

Conclusion

Lutz Doebrich’s listed patent presents an approach to capacitive touch recognition and data storage in a vehicle steering wheel, reflecting his documented connection to automotive innovation at Preh GmbH.

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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