Unterschleissheim, Germany

Mathias Doell

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Bayerische Motoren Werke Aktiengesellschaft. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mathias Doell. Retrieved from https://idiyas.com/inventor/mathias-doell

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Mathias Doell - Innovator in Automated Vehicle Technology.

Introduction

Mathias Doell is an inventor based in Unterschleissheim, Germany. He is focused on developing innovative solutions for automated motor vehicles. Although he currently holds no granted patents, his work is significant in the field of automotive technology.

Latest Patent Applications

Mathias Doell has submitted several notable patent applications. One of his latest applications is titled "Method for Determining a Hands-Off Time for an Automated Motor Vehicle." This method determines a hands-off time based on the degree of attentiveness of the driver over time. Another application is for a "System Consisting of a Motor Vehicle and a Mobile Electronic Device for a Drive Operation Which Is Automated Under Certain Conditions, and Operating Method." This system includes a motor vehicle and a mobile electronic device with a display that can be used by a vehicle occupant. The motor vehicle is designed to transmit a specified control signal to the mobile device in response to detecting a drive situation that needs to be managed non-autonomously.

Conclusion

Mathias Doell is an emerging inventor whose latest patent applications reflect his commitment to advancing automated vehicle technology. His innovative methods and systems aim to enhance the safety and efficiency of automated driving experiences.

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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