Arlington, MA, United States of America

Matthew Graham

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations in Autonomous Vehicle Technology by Matthew Graham

Introduction

Matthew Graham is an accomplished inventor based in Arlington, MA (US). He has made significant contributions to the field of autonomous vehicles, particularly in the area of object-level fusion. His innovative approach aims to enhance the capabilities of self-driving car systems by integrating data from multiple sensor types.

Latest Patents

Matthew Graham holds a patent for an autonomous vehicle technology that focuses on object-level fusion. This invention addresses the limitations of previous self-driving car systems, which typically detect objects separately using vision, RADAR, or LIDAR systems. His patent describes an object fusion module that normalizes sensor output from these systems into a common format. By fusing the object-level sensor data across all systems, the invention allows for a comprehensive understanding of the environment surrounding the self-driving car. This advancement improves the overall performance of autonomous vehicles by utilizing combined data from all sensors rather than relying on each sensor to operate independently. He has 1 patent in this domain.

Career Highlights

Throughout his career, Matthew Graham has worked with notable organizations, including the Charles Stark Draper Laboratory, Inc. and Veoneer US, Inc. His experience in these companies has contributed to his expertise in developing cutting-edge technologies for autonomous vehicles.

Collaborations

Matthew has collaborated with talented individuals such as Troy B. Jones and Kyra Horne. Their combined efforts have played a crucial role in advancing the field of autonomous vehicle technology.

Conclusion

Matthew Graham's innovative work in object-level fusion for autonomous vehicles represents a significant step forward in self-driving technology. His contributions are paving the way for safer and more efficient autonomous driving systems.

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