This inventor holds 2 USPTO granted patents. Top assignees: Solfice Research, Inc., Other. Active years: 2017-2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017-2020
Title: Graham Mills: Innovator in Machine Vision and Point-Cloud Analysis
Introduction
Graham Mills is a notable inventor based in Berkeley, CA (US), recognized for his contributions to the fields of machine vision and point-cloud analysis. With a total of 2 patents, he has made significant strides in developing methods and apparatuses that enhance remote sensing and vehicle control.
Latest Patents
Mills' latest patents focus on real-time machine vision and point-cloud analysis. These innovations provide methods and apparatus for analyzing point cloud data through scalable, centralized cloud computing systems. This technology is designed for the extraction of asset information and the generation of semantic maps. By incorporating machine learning components, Mills optimizes data analysis mechanisms to improve asset and feature extraction from sensor data. Furthermore, these optimized mechanisms can be downloaded to vehicles, enabling on-board systems to analyze vehicle sensor data effectively. The semantic map data generated can be utilized locally in vehicles, along with onboard sensors, to achieve precise vehicle localization and enhance vehicle control systems.
Career Highlights
Throughout his career, Graham Mills has worked with various companies, including Solfice Research, Inc. His work has significantly impacted the development of technologies that integrate machine learning with vehicle systems, paving the way for advancements in autonomous vehicle technology.
Collaborations
Mills has collaborated with talented individuals such as Shanmukha Sravan Puttagunta and Fabien Chraim, contributing to the innovative projects he has undertaken.
Conclusion
Graham Mills stands out as an influential inventor in the realm of machine vision and point-cloud analysis. His patents and collaborative efforts continue to shape the future of vehicle control and remote sensing technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile