San Jose, CA, United States of America

Dennis Hilgenberg


Average Co-Inventor Count = 2.7

ph-index = 2

Forward Citations = 6(Granted Patents)


Location History:

  • Santa Clara, CA (US) (2011)
  • San Jose, CA (US) (2012 - 2024)

Company Filing History:


Years Active: 2011-2024

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4 patents (USPTO):Explore Patents

Title: Dennis Hilgenberg: Innovator in Machine Learning and Satellite Positioning

Introduction

Dennis Hilgenberg is a prominent inventor based in San Jose, California. He has made significant contributions to the field of machine learning and satellite-based positioning systems. With a total of 4 patents to his name, Hilgenberg continues to push the boundaries of technology and innovation.

Latest Patents

One of Hilgenberg's latest patents is focused on machine learning-assisted satellite-based positioning. This device implements a system for estimating device location using a Global Navigation Satellite System (GNSS) satellite. The system includes a processor that receives an estimated position and a set of parameters associated with that position. The processor applies these parameters to a machine learning model, which has been trained based on the position of a receiving device relative to the GNSS satellite. The output from the machine learning model is then provided to a Kalman filter, which helps in estimating the device's location more accurately.

Career Highlights

Throughout his career, Dennis Hilgenberg has worked with leading technology companies, including Apple Inc. and Qualcomm Atheros Inc. His experience in these organizations has allowed him to develop innovative solutions that enhance the functionality of satellite positioning systems.

Collaborations

Hilgenberg has collaborated with notable professionals in his field, including Yi-Hsiu Wang and Benjamin A Werner. These collaborations have contributed to the advancement of technology in machine learning and satellite positioning.

Conclusion

Dennis Hilgenberg is a key figure in the realm of machine learning and satellite-based positioning. His innovative patents and collaborations with industry leaders highlight his commitment to advancing technology. His work continues to influence the future of positioning systems and machine learning applications.

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