Cambridge, MA, United States of America

Tsun-Hsuan Wang

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Massachusetts Institute of Technology, Toyota Jidosha Kabushiki Kaisha, Toyota Research Institute, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tsun-Hsuan Wang. Retrieved from https://idiyas.com/inventor/tsun-hsuan-wang-fa3zru1s

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: Tsun-Hsuan Wang and Scene Simulator Training

Introduction

Tsun-Hsuan Wang is an inventor associated with Cambridge, Massachusetts. His patent work addresses scene simulation for driving applications, combining information from real-world observations and simulated agents.

Latest Patents

Wang is named on 1 patent, titled “Systems and Methods for Training a Scene Simulator Using Real and Simulated Agent Data.” The invention describes acquiring trajectories and three-dimensional views of multiple agents from observations of real vehicles, then using those views and information from simulated agents to generate a three-dimensional scene. A scene simulator is trained to render projections of that scene and produce a two-dimensional driving scene with simulated observations.

Career Highlights

Wang’s listed company affiliations include Toyota Research Institute, Inc. and Toyota Jidosha Kabushiki Kaisha. His patent reflects work on methods for training scene simulators with both real and simulated agent data.

Collaborations

Wang’s listed coworker is Wilko Schwarting. The patent’s approach brings together real-vehicle observations and simulated-agent information to support the creation of driving scenes.

Conclusion

Tsun-Hsuan Wang’s patent focuses on training scene simulators that combine real and simulated data to generate two-dimensional driving-scene observations.

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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