Pittsburgh, PA, United States of America

Luona Yang


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Luona Yang: Innovator in Autonomous Vehicle Technology

Introduction

Luona Yang is a prominent inventor based in Pittsburgh, PA, specializing in technologies for autonomous vehicles. He has made significant contributions to the field, particularly in the area of sensor data processing and machine learning applications.

Latest Patents

Luona Yang holds two patents that showcase his innovative work. His latest patent, titled "System and method for generating information on remainder of measurement using sensor data," involves a method for processing lidar data from an autonomous vehicle's environment. This method utilizes a machine learning model to classify lidar returns as either belonging to an object or non-object, and further categorizes objects as harmful or non-harmful. The autonomous vehicle can then be controlled based on this processed information. Another patent, also titled "System and method for generating information on remainder of measurement using sensor data," focuses on extracting features from sensor data to classify sensor returns and determine object properties. This classification aids in the control of the autonomous vehicle based on generic object classifications.

Career Highlights

Luona Yang is currently employed at Aurora Operations, Inc., where he continues to develop cutting-edge technologies for autonomous vehicles. His work is instrumental in enhancing the safety and efficiency of these vehicles through advanced sensor data analysis.

Collaborations

Luona collaborates with talented individuals in his field, including coworkers Jake Charland and Ethan Eade. Their combined expertise contributes to the innovative projects at Aurora Operations, Inc.

Conclusion

Luona Yang is a key figure in the advancement of autonomous vehicle technology, with a focus on sensor data processing and machine learning. His patents reflect his commitment to improving vehicle safety and functionality.

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