Madison, WI, United States of America

Jie Ye

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Cavh LLC. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jie Ye. Retrieved from https://idiyas.com/inventor/jie-ye-dnsytgh6

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 = 10.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jie Ye - Innovator in Vehicle Intelligent Systems

Introduction

Jie Ye is a prominent inventor based in Madison, WI (US). He has made significant contributions to the field of vehicle automation and intelligent systems. His work focuses on enhancing the capabilities of Connected Automated Vehicles (CAV).

Latest Patents

Jie Ye holds a patent for a Vehicle Intelligent Unit (VIU). This innovative unit is designed to provide vehicle operations and control for CAVs. It connects with a Collaborative Automated Driving System (CADS) to manage and control information exchange between CAV and CADS. Additionally, it oversees CAV lateral and longitudinal movements, including vehicle following, lane changing, and route guidance. He has 1 patent to his name.

Career Highlights

Jie Ye is currently employed at Cavh LLC, where he continues to develop cutting-edge technologies in the automotive sector. His expertise in vehicle intelligence has positioned him as a key player in the advancement of automated driving systems.

Collaborations

He collaborates with talented individuals such as Bin Ran and Kegang Zhao, contributing to innovative projects within the company.

Conclusion

Jie Ye's work in vehicle intelligent systems exemplifies the future of automated driving technology. His contributions are paving the way for safer and more efficient transportation solutions.

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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