Mountain View, CA, United States of America

Yue Wu

This inventor holds 25 USPTO granted patents and 17 published patent applications, primarily in Autonomous Systems. Top assignees: Nvidia Corporation, Corvus Robotics, Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yue Wu. Retrieved from https://idiyas.com/inventor/yue-wu-f4a6shge

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

Calculating rank
USPTO Granted Patents = 25 

% Patents Active = 76.0

Average Co-Inventor Count = 3.7

ph-index = 4

Forward Citations = 81(Granted Patents)


Location History:

  • Evanston, IL (US) (2021)
  • Mountain View, CA (US) (2023 - 2024)

Company Filing History:


Years Active: 2021-2026

Loading Chart...
Areas of Expertise:
Feature Tracking
Hazard Detection
Surface Estimation
Camera Calibration
3D Surface Reconstruction
Sensor Calibration
Neural Networks
Autonomous Drones
Object Detection
Machine Learning
Point Cloud Densification
Multi-View Geometry
25 patents (USPTO):Explore Patents

Title: Innovations by Yue Wu in Autonomous Systems

Introduction

Yue Wu is a prominent inventor based in Mountain View, CA, known for his significant contributions to the field of autonomous systems. With a total of 15 patents to his name, he has been at the forefront of developing technologies that enhance the capabilities of autonomous and semi-autonomous systems.

Latest Patents

One of his latest patents is focused on sensor calibration for autonomous systems and applications. This innovation describes systems and methods that utilize image feature correspondences between camera images, along with the assumption that image features are locally planar, to determine parameters for calibrating an image sensor with a LiDAR sensor and/or another image sensor. The optimization problem constructed aims to minimize a geometric loss function, which encodes the notion that corresponding image features are views of the same point on a locally planar surface, such as a surfel or mesh created from LiDAR data.

Another notable patent by Yue Wu is related to multi-view geometry-based hazard detection for autonomous systems. This invention discloses systems and methods that detect hazards on roadways by identifying discontinuities between pixels on a depth map. By using synchronized stereo cameras mounted on an ego-machine, the system generates images that extract depth or disparity information. The presence of a hazard is indicated by a discontinuity in disparity values, which may occlude the driving surface behind the hazard from the camera's perspective.

Career Highlights

Yue Wu has made remarkable strides in his career, particularly through his work at Nvidia Corporation. His expertise in sensor calibration and hazard detection has positioned him as a key player in the development of advanced technologies for autonomous systems.

Collaborations

Yue has collaborated with talented individuals such as Minwoo Park and Cheng-Chieh Yang, contributing to the innovative environment at Nvidia Corporation.

Conclusion

Yue Wu's contributions to the field of autonomous systems through his patents and collaborative efforts highlight his role as a leading inventor in this rapidly evolving industry. His work continues to pave the way for safer and more efficient autonomous technologies.

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]
Loading…