Redmond, WA, United States of America

Qinru Li

This inventor holds 1 USPTO granted patent. Top assignee: Waymo LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Qinru Li. Retrieved from https://idiyas.com/inventor/qinru-li

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Qinru Li and Vehicle Object Tracking

Introduction

Qinru Li is an inventor based in Redmond, Washington, and works at Waymo LLC. His patent work addresses object tracking for driving applications, with a focus on combining camera and lidar sensing across different distances.

Latest Patents

Li is associated with 1 patent, titled “Object Tracking Across a Wide Range of Distances for Driving Applications.” The invention describes a vehicle perception system that uses multiple models to track objects across a broad range of distances. A camera model tracks objects beyond lidar’s sensing range, while a lidar model handles objects within that range. A camera-lidar model uses images from both sensors to transfer tracking between the models, supporting efficient and seamless tracking in vehicle environments.

Career Highlights

Li’s listed patent reflects work on perception systems for autonomous driving. By coordinating camera and lidar models, the approach is designed to maintain object tracking as vehicles encounter objects at varying distances.

Collaborations

Li’s listed coworkers include Longlong Jing and Ruichi Yu. The patent information provided identifies Waymo LLC as his company.

Conclusion

Qinru Li’s patent focuses on combining camera and lidar capabilities to support continuous object tracking across a wide range of distances for driving applications.

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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