Vienna, VA, United States of America

Glenn Toumier

This inventor holds 1 USPTO granted patent. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Glenn Toumier. Retrieved from https://idiyas.com/inventor/glenn-toumier

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

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Average Co-Inventor Count = 1.0

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Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Glenn Toumier: Inventor of a Multimodal Drone Loop-Closure Method

Introduction

Glenn Toumier is an inventor associated with Vienna, Virginia, United States. His patent work addresses drone positioning by combining information from Light Detection and Ranging (LIDAR) profiles and images.

Latest Patents

Toumier is credited with 1 patent, titled “Loop closure using multi-modal sensor data.” The invention describes methods and systems for obtaining a sample LIDAR profile generated by a drone and selecting a reference position based on that profile. It then determines translation and rotation relative to the reference position using both LIDAR-profile data and a reference image. The system checks whether the two sets of measurements meet a similarity threshold and uses the result to verify the drone’s predicted position.

Career Highlights

The patent highlights Toumier’s contribution to multimodal approaches for drone localization. By comparing sensor and image measurements, the method is designed to help verify a drone’s estimated position.

Collaborations

Toumier’s listed coworkers include Narayanan Ramanathan and Timon Meyer. Their names provide context for the professional connections associated with his patent work.

Conclusion

Glenn Toumier’s patent focuses on combining LIDAR and image data to verify drone positioning, reflecting an application of multimodal sensing to navigation.

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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