Ann Arbor, MI, United States of America

Kuan X Liu


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Kuan X Liu: Innovator in Vehicle Velocity Prediction

Introduction

Kuan X Liu is a prominent inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of vehicle technology, particularly in the area of predictive control for connected and automated vehicles. His innovative approach utilizes advanced machine learning techniques to enhance vehicle performance and safety.

Latest Patents

Kuan X Liu holds a patent titled "Vehicle velocity predictor using neural networks based on V2X data augmentation to enable predictive optimal control of connected and automated vehicles." This patent focuses on reducing or eliminating time lag in vehicle velocity prediction. The method involves receiving multiple time series datasets, which include sensor data, GPS data, and vehicle state data collected over time. It extracts features from these datasets that indicate future vehicle velocity and labels them to signify vehicle acceleration or deceleration events. The labeled features are then used to train a machine learning model that predicts vehicle velocity in the future. He has 1 patent to his name.

Career Highlights

Kuan X Liu has worked with notable organizations such as Toyota Motor Engineering & Manufacturing North America, Inc. and the University of Michigan. His experience in these institutions has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in automotive technology.

Collaborations

Kuan has collaborated with esteemed colleagues, including Mike Xuli Huang and Ilya V Kolmanovsky. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise in the field of vehicle technology.

Conclusion

Kuan X Liu is a key figure in the development of predictive technologies for vehicles, with a focus on enhancing safety and efficiency. His work continues to influence the automotive industry and pave the way for future innovations.

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