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For the Inventor, By the Inventor

San Diego, CA, United States of America

Wentao Zhu

This inventor holds 5 USPTO granted patents and 4 published patent applications. Top assignee: Tusimple, Inc.. Active years: 2019-2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wentao Zhu. Retrieved from https://idiyas.com/inventor/wentao-zhu-y7d9kpcd

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

Calculating rank
USPTO Granted Patents = 5 

% Patents Active = 100.0

Average Co-Inventor Count = 3.3

ph-index = 4

Forward Citations = 20(Granted Patents)


Company Filing History:

goldMedal5 out of 354 
 
Tusimple, Inc.
 patents

Years Active: 2019-2020

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5 patents (USPTO):Explore Patents
1. 10671083 - Neural network architecture system for deep odometry assisted by static scene optical flow (2020-06-02),
2. 10552979 - Output of a neural network method for deep odometry assisted by static scene optical flow (2020-02-04),
3. 10481267 - Undistorted raw LiDAR scans and static point extractions method for ground truth static scene sparse flow generation (2019-11-19),
4. 10360686 - Sparse image point correspondences generation and correspondences refinement system for ground truth static scene sparse flow generation (2019-07-23),
5. 10268205 - Training and testing of a neural network method for deep odometry assisted by static scene optical flow (2019-04-23),

Title: Innovations of Wentao Zhu

Introduction

Wentao Zhu is a prominent inventor based in San Diego, CA. He has made significant contributions to the field of visual odometry, particularly through his innovative neural network architectures. With a total of 5 patents to his name, Zhu continues to push the boundaries of technology.

Latest Patents

Zhu's latest patents include a "Neural network architecture system for deep odometry assisted by static scene optical flow." This system is designed to enhance visual odometry by utilizing an internet server that processes input images through a series of convolutional and deconvolutional neural networks. Another notable patent is the "Output of a neural network method for deep odometry assisted by static scene optical flow," which outlines a method for data alignment among various sensors, including LiDAR and cameras, to establish optical flow for visual odometry.

Career Highlights

Currently, Wentao Zhu is employed at TuSimple, Inc., where he applies his expertise in neural networks and visual odometry. His work has been instrumental in advancing the capabilities of autonomous systems.

Collaborations

Zhu collaborates with talented individuals such as Yi Wang and Yi Luo, contributing to a dynamic and innovative work environment.

Conclusion

Wentao Zhu's contributions to the field of visual odometry and neural networks exemplify his commitment to innovation. His patents and work at TuSimple, Inc. highlight his role as a leading inventor in the technology sector.

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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