Munich, Germany

Fahad Mansoor

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Navvis Gmbh. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fahad Mansoor. Retrieved from https://idiyas.com/inventor/fahad-mansoor

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 = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Fahad Mansoor: Inventor in Digital Spatial Selection

Introduction

Fahad Mansoor is an inventor based in Munich, Germany, associated with NavVis GmbH. His patent work addresses the precise selection of spatial coordinates using digital images and three-dimensional point-cloud data.

Latest Patents

Mansoor is listed as an inventor on 1 patent: “Method and Device for the Precise Selection of a Space Coordinate by Means of a Digital Image.” The invention provides a method and device for selecting a spatial coordinate accurately. It combines a digital image of surface elements in three-dimensional space with a point cloud whose points are associated with spatial coordinates and surface elements. After a user tags a pixel in the image, the system estimates the corresponding spatial coordinates and displays nearby point-cloud points in a supplementary view, where a point can then be selected.

Career Highlights

Mansoor’s listed patent reflects work at the intersection of digital imaging, three-dimensional spatial data, and interactive coordinate selection. He is associated with NavVis GmbH.

Collaborations

Robert Huitl and Stefan Romberg are identified as Mansoor’s coworkers. The patent description concerns a method and device for selecting points from a three-dimensional point cloud using a tagged image pixel.

Conclusion

Fahad Mansoor’s patent focuses on making spatial-coordinate selection more precise by connecting digital images with three-dimensional point-cloud data.

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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