Austin, TX, United States of America

Zhenghan Zhu

This inventor holds 1 USPTO granted patent. Top assignee: Torc Robotics, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhenghan Zhu. Retrieved from https://idiyas.com/inventor/zhenghan-zhu-6ceablxq

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Zhenghan Zhu and Patent Work in Autonomous Vehicle Tracking

Introduction

Zhenghan Zhu is an inventor associated with Austin, Texas, and Torc Robotics, Inc. His patent work addresses how autonomous vehicles can evaluate object-tracking methodologies against ground-truth tracking data.

Latest Patents

Zhu is named on one patent, 1 patent: “Systems and Methods for Evaluating Object Tracking Methodologies.” The invention describes an autonomous vehicle system that receives sensor data and ground-truth tracking, associates the two tracking results, and derives probability distributions from their joint distribution. It then calculates a Kullback-Leibler Divergence (KLD) score to compare the methodology’s tracking distribution with the ground-truth distribution. This approach provides a quantitative way to assess object-tracking methods.

Career Highlights

Zhu’s listed patent is connected to autonomous vehicle technology and the evaluation of tracking systems. The patent identifies Torc Robotics, Inc. as his company affiliation.

Collaborations

The provided information lists Jackson Maury Newton and Haseeb Chaudhry as Zhu’s coworkers. Their specific roles in the patent or related work are not specified.

Conclusion

Zhenghan Zhu’s patent contribution focuses on measuring the performance of autonomous vehicle object-tracking methodologies through comparison with ground-truth data.

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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