Xi'an, China

Xuming Shang

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Chang'an University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xuming Shang. Retrieved from https://idiyas.com/inventor/xuming-shang

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: Xuming Shang and Critical-Scenario Generation for Autonomous Driving

Introduction

Xuming Shang is an inventor based in Xi’an, China, and is associated with Chang’an University. His work includes a patent for generating critical scenarios used to test autonomous-driving systems.

Latest Patents

Shang is named on 1 patent: “Method, System, Apparatus, and Medium for Generating Critical Scenarios in Autonomous Driving Tests.” The invention describes generating an initial scenario using a lane-coordinate system, then constructing a one-way, single-lane car-following scenario and a one-way, dual-lane cut-in scenario. These scenarios include an autonomous vehicle controlled by an intelligent driving model and an agent vehicle. The approach is designed to produce critical test scenarios efficiently and accurately, helping accelerate the evaluation of autonomous vehicles’ performance and safety in complex, high-risk conditions.

Career Highlights

Shang’s patent work is associated with Chang’an University and focuses on methods and systems for testing autonomous-driving technology. The disclosed approach combines lane-based scenario generation with car-following and cut-in situations.

Collaborations

The provided information lists Ruru Hao and Zhou Zhou as Shang’s coworkers. Their specific roles in the patent or related work are not specified.

Conclusion

Xuming Shang’s patent addresses the generation of challenging autonomous-driving test scenarios, supporting more efficient assessment of vehicle safety and performance.

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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