Xi'an, China

Zhou Zhou

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Chang'an University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhou Zhou. Retrieved from https://idiyas.com/inventor/zhou-zhou-bhliu8p6

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

Calculating rank
USPTO Granted Patents = 1 

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: Zhou Zhou and Critical-Scenario Generation for Autonomous Driving

Introduction

Zhou Zhou is an inventor based in Xi’an, China, and is associated with Chang’an University. His patent work addresses the testing of autonomous-driving systems in complex and potentially hazardous situations.

Latest Patents

Zhou Zhou is named on 1 patent: “Method, System, Apparatus, and Medium for Generating Critical Scenarios in Autonomous Driving Tests.” The invention generates test scenarios using a lane-coordinate system, including single-lane car-following and dual-lane cut-in situations. It models an autonomous vehicle using an intelligent driving model (IDM) alongside an agent vehicle, then uses the constructed scenarios to produce critical cases for testing. The approach is intended to make scenario generation more efficient and accurate, supporting the evaluation of autonomous vehicles’ performance and safety.

Career Highlights

Zhou’s listed patent reflects work on methods for creating challenging, repeatable scenarios for autonomous-driving tests. His affiliation with Chang’an University connects this work to an academic institution.

Collaborations

Ruru Hao and Difei Zhang are identified as Zhou’s coworkers. The provided information does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Zhou Zhou’s patent focuses on generating critical car-following and cut-in scenarios to help advance the testing and safety verification of autonomous-driving systems.

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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