Mountain View, CA, United States of America

Jingwen Zoe Du

This inventor holds 1 USPTO granted patent. Top assignee: Nuro Corp.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jingwen Zoe Du. Retrieved from https://idiyas.com/inventor/jingwen-zoe-du

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jingwen Zoe Du and Lidar Calibration Innovation.

Introduction

Jingwen Zoe Du is an inventor based in Mountain View, California, and is associated with Nuro Corp. Her patent work addresses validation of lidar’s intrinsic parameters, an important step in verifying the accuracy of lidar systems.

Latest Patents

Du is named on 1 patent, titled “Methods and Apparatus for Validation of Intrinsic Parameters for Lidar.” The invention describes positioning a lidar on a rotating platform and measuring data points relative to a target with two edges and a vertex. The measurements are processed to estimate the vertex’s location, which is then checked against a specification. If the estimate meets the relevant specification, the lidar is verified.

Career Highlights

Du’s patent reflects work on methods for assessing lidar performance through measured data and geometric references. Such validation can help determine whether a lidar system meets specified requirements.

Collaborations

Du’s listed coworkers include Laszlo Peter Berczi and Yang Han. Her association with Nuro Corp. places her patent work within a company developing autonomous vehicle technology.

Conclusion

Jingwen Zoe Du’s patent focuses on a practical method for validating lidar parameters, contributing to the broader development and verification of sensing technology.

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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