Company Filing History:
Years Active: 2025
Title: Eleanor Crane: Innovator in Machine Learning and Ground Classification
Introduction
Eleanor Crane is a prominent inventor based in Sunnyvale, CA, known for her contributions to machine learning and ground classification technologies. With a total of 2 patents, she has made significant strides in the field, particularly in developing systems and methods that enhance the understanding of environments through advanced algorithms.
Latest Patents
Eleanor's latest patents include innovative techniques for ground classification and the simulation of cloud data for machine learning training. The first patent focuses on obtaining a point cloud that represents an environment, determining classifications of points as ground or not-ground, and generating feature data for a machine learning model. The second patent involves simulating an environment with objects and ray sources, tracking rays, and generating synthetic point cloud data based on measurements from interactions with a simulated receiver.
Career Highlights
Throughout her career, Eleanor has worked with notable companies such as Matterport, Inc. and CoStar Realty Information, Inc. Her work has been instrumental in advancing technologies that leverage machine learning for practical applications in various industries.
Collaborations
Eleanor has collaborated with talented individuals in her field, including Kevin Balkoski and Edward Melcher. These partnerships have contributed to her innovative projects and the successful development of her patents.
Conclusion
Eleanor Crane's work in machine learning and ground classification exemplifies the impact of innovation in technology. Her patents and career achievements highlight her role as a leading inventor in her field.