Auburn Hills, MI, United States of America

Gabriella Kókai

This inventor holds 1 USPTO granted patent. Top assignee: Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.v.. Active years: 2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gabriella Kókai. Retrieved from https://idiyas.com/inventor/gabriella-kókai

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

Calculating rank

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Gabriella Kókai and Trajectory Data Encoding

Introduction

Gabriella Kókai is an inventor associated with Auburn Hills, Michigan, and Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Her patent work concerns encoding data that represents an object’s trajectory over time.

Latest Patents

Kókai is named on one patent, titled “Concept for Encoding Data Defining Coded Positions Representing a Trajectory of an Object.” The invention describes an encoder that processes a time series of an object’s positions. It derives components of the difference between a previously coded motion vector and the object’s current motion vector, selects a component, and uses it to encode the current motion vector and define a coded position.

Career Highlights

Kókai’s recorded patent contribution focuses on spatio-temporal data and motion-vector encoding. The approach uses information from previously coded positions to encode a new position along an object’s trajectory.

Collaborations

Kókai’s listed coworkers include Thorsten Edelhaeusser and Hans Holm Fruehauf. Her patent is associated with Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.

Conclusion

Gabriella Kókai’s patent work addresses efficient encoding of trajectory data by using motion-vector differences to represent an object’s changing positions.

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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