Kirkland, WA, United States of America

Dongran Liu

This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dongran Liu. Retrieved from https://idiyas.com/inventor/dongran-liu-15lfl6sv

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

Calculating rank
USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Dongran Liu: Inventor in Autonomous Driving Technology.

Introduction

Dongran Liu is an inventor based in Kirkland, Washington, and works at NVIDIA Corporation. His patent work focuses on technologies that support autonomous and semi-autonomous navigation. Liu holds 2 patents.

Latest Patents

Liu’s recent inventions address parking-area detection and safer navigation around static objects.

“Parking Area Detection” describes a hybrid approach for identifying parking-area geometry. The system processes sensor data, such as images, to detect environmental edges. It combines those features with a geometry prediction from machine-learning models, then applies optimization techniques to estimate the parking area’s final geometry.

“Lane Biasing for Navigating Machines” describes methods for generating lane geometries, including in environments without clearly marked boundaries. By considering static objects, drivable-space analysis, and existing paths, the system can shift a vehicle’s path away from obstacles to maintain a greater safety margin.

Career Highlights

At NVIDIA Corporation, Liu’s disclosed patent work concerns perception and path planning for autonomous systems. His inventions describe ways to interpret parking spaces and adjust navigation paths in response to nearby objects.

Collaborations

Liu’s listed coworkers include Minwoo Park and Jeremy Ma.

Conclusion

Dongran Liu’s patents focus on practical challenges in autonomous navigation, including recognizing parking areas and planning safer paths around static objects.

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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