San Carlos, CA, United States of America

Kenneth Nathan Brown

This inventor holds 3 USPTO granted patents and 3 published patent applications. Top assignee: Zoox, Inc.. Active years: 2026.

USPTO Granted Patents = 3 

% Patents Active = 33.3

Average Co-Inventor Count = 1.5

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
3 patents (USPTO):Explore Patents

Title: Innovations of Kenneth Nathan Brown

Introduction

Kenneth Nathan Brown is an accomplished inventor based in San Carlos, CA. He has made significant contributions to the field of object detection through his innovative techniques. His work focuses on enhancing the accuracy and efficiency of sensor data analysis.

Latest Patents

Kenneth holds a patent for "Object detection using merged sensor data clusters." This patent discusses techniques for object detection based on sensor data. The methods include determining the association between different sensor data clusters based on specific conditions. These conditions may involve azimuth ranges, height differences, aspect ratios, and the movement of cluster tracks over time. Kenneth's patent represents a significant advancement in the field of sensor technology.

Career Highlights

Kenneth is currently employed at Zoox, Inc., where he applies his expertise in sensor data analysis. His work at Zoox contributes to the development of autonomous vehicle technologies. With a focus on innovation, Kenneth continues to push the boundaries of what is possible in object detection.

Collaborations

Kenneth has collaborated with notable colleagues, including Vincent Chee-Chin Lee and David Benjamin Lu. These collaborations have fostered a creative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

Kenneth Nathan Brown's contributions to object detection and sensor technology are noteworthy. His innovative patent and work at Zoox, Inc. highlight his commitment to advancing the field. Kenneth's efforts continue to shape the future of autonomous systems and sensor applications.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…