Campbell, CA, United States of America

Jordan Marr

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jordan Marr. Retrieved from https://idiyas.com/inventor/jordan-marr-kf4r0z96

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 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jordan Marr and Machine Localization

Introduction

Jordan Marr is an inventor based in Campbell, California. His patent work includes a machine-localization approach that uses two-dimensional map data to help determine a system’s position within an environment.

Latest Patents

Marr is associated with 1 patent, titled “Machine localization.” The disclosed method identifies the image location of a representation of part of an object in an image of an environment. It may then determine predicted image locations, compare those predictions with ground-plane locations, and calculate a cost based on the comparison. The system uses that cost to localize itself to two-dimensional map data.

Career Highlights

Marr is associated with NVIDIA Corporation. His patent describes a localization technique that connects visual information with map data, supporting systems that need to estimate their position in an environment.

Collaborations

The available information identifies NVIDIA Corporation as Marr’s company affiliation. It does not specify additional collaborators or co-inventors for the patent.

Conclusion

Jordan Marr’s “Machine localization” patent presents a method for using image observations, ground-plane locations, and two-dimensional map data to localize a system.

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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