Bat-Yam, Israel

Joey Hendry

This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Autobrains Technologies Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Joey Hendry. Retrieved from https://idiyas.com/inventor/joey-hendry

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Joey Hendry and Machine Learning for Autonomous Driving.

Introduction

Joey Hendry is an inventor based in Bat-Yam, Israel. His patent work concerns machine learning methods for autonomous driving, particularly the generation of future waypoints to support smoother vehicle actuation.

Latest Patents

Hendry is associated with 1 patent: “Way Point Generation for Smoother Actuation Using Machine Learning Model.” The invention describes training a machine-learning process with images captured during a vehicle’s driving episode and related inertial measurement unit data, including velocity and yaw-rate values. The method estimates waypoints the vehicle has passed and uses the images and estimated waypoints to train a model that predicts future waypoints along a driving route.

Career Highlights

Hendry’s listed patent work is connected to Autobrains Technologies Ltd. The invention addresses a key autonomous-driving challenge: using driving data to predict a vehicle’s path and inform smoother actuation.

Collaborations

Hendry’s listed coworkers include Julius Engelsoy and Armin Biess. His patent work and company affiliation place him among contributors working on machine learning applications for autonomous driving.

Conclusion

Joey Hendry’s patent focuses on predicting future driving waypoints from images and vehicle-motion data, supporting the development of smoother autonomous-driving systems.

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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