This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Gm Cruise Holdings LLC. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2023
Title: Matt Cox: Innovator in Autonomous Vehicle Technology
Introduction
Matt Cox is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of autonomous vehicle technology, particularly in the area of LIDAR systems. With a total of 2 patents to his name, Cox is recognized for his innovative approaches to enhancing the functionality and reliability of autonomous vehicles.
Latest Patents
Cox's latest patents focus on mitigating interference for LIDAR systems in autonomous vehicles. One of his notable inventions describes an autonomous vehicle equipped with a LIDAR sensor system. This system is designed to update the code included in the light signals emitted by the LIDAR sensor. The computing system within the vehicle transmits a command signal to the LIDAR sensor, prompting it to transition from emitting light signals with a first code to a second code, ensuring that the two codes are distinct from one another.
Career Highlights
Cox is currently employed at GM Cruise Holdings LLC, where he continues to develop cutting-edge technologies for autonomous vehicles. His work is instrumental in advancing the capabilities of LIDAR systems, which are crucial for the safe operation of self-driving cars.
Collaborations
Throughout his career, Cox has collaborated with talented individuals such as Robert Vets and Peter Megson. These partnerships have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies in the automotive sector.
Conclusion
Matt Cox is a key figure in the realm of autonomous vehicle innovation, with a focus on enhancing LIDAR systems. His contributions are paving the way for safer and more efficient self-driving technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
