Dearborn, MI, United States of America

Akhil Perincherry

This inventor holds 1 USPTO granted patent. Top assignees: Ford Global Technolgoies, LLC, The Australian National University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Akhil Perincherry. Retrieved from https://idiyas.com/inventor/akhil-perincherry-tbd559v5

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Akhil Perincherry and Camera Pose Estimation

Introduction

Akhil Perincherry is an inventor associated with Dearborn, Michigan. His patent work addresses the challenge of estimating a camera’s pose by comparing visual features from a ground-level image with features from an overhead image.

Latest Patents

Perincherry is named on 1 patent, titled “Camera Pose Relative to Overhead Image.” The invention describes a computer system that generates feature maps from an overhead image and a ground-view image captured by a camera oriented at least partially horizontally. It projects the overhead feature map into ground views corresponding to multiple candidate camera poses, compares each projected map with the observed ground-view feature map, and estimates the camera’s pose based on those feature differences.

Career Highlights

Perincherry’s listed organizational affiliations include Ford Global Technologies, LLC, and The Australian National University. His patent reflects work on computer vision and the alignment of ground-level and overhead imagery.

Collaborations

Yujiao Shi and Yanhao Zhang are identified as Perincherry’s coworkers. Their shared professional context connects them to a broader environment of technical research and innovation.

Conclusion

Akhil Perincherry’s patent on camera pose estimation demonstrates an approach to relating ground-view imagery to overhead maps, with potential applications in systems that need to determine a camera’s position and orientation.

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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