Bedford, MA, United States of America

Charles Primmerman

This inventor holds 1 USPTO granted patent. Top assignee: Massachusetts Institute of Technology. Active years: 2023.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Charles Primmerman in Lidar Technology

Introduction

Charles Primmerman is an accomplished inventor based in Bedford, MA (US). He has made significant contributions to the field of lidar technology, particularly in addressing challenges related to angular jitter in space-based ground-imaging systems. His innovative approach has the potential to enhance the accuracy and effectiveness of lidar data collection.

Latest Patents

Primmerman holds a patent for a "Data-driven angular jitter estimator for lidar." This invention addresses the issue of imperfect pointing knowledge caused by angular jitter, which can blur 3D lidar data. The patent outlines a method for estimating the 2-axis jitter time series from lidar data while simultaneously modeling the ground surface as nuisance parameters. By employing Expectation Maximization, the invention separates signal and background detections, maximizing the joint posterior probability density of the jitter and surface states. The estimated jitter can significantly reduce the blurring effect, achieving results comparable to the optical diffraction limit.

Career Highlights

Charles Primmerman is affiliated with the Massachusetts Institute of Technology, where he continues to work on cutting-edge research in lidar technology. His expertise and innovative mindset have positioned him as a key figure in the advancement of this field.

Collaborations

Primmerman has collaborated with notable colleagues, including Ethan Phelps and Eric R Statz. Their combined efforts contribute to the ongoing development of innovative solutions in lidar technology.

Conclusion

Charles Primmerman's work in developing a data-driven angular jitter estimator for lidar represents a significant advancement in the field. His contributions not only enhance the accuracy of lidar systems but also pave the way for future innovations in ground-imaging technology.

Profile summary based on public USPTO records.
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