San Rafael, CA, United States of America

Michael Boardman


 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Michael Boardman - Innovator in Global Hypothesis Tracking

Introduction

Michael Boardman is an accomplished inventor based in San Rafael, California. He has made significant contributions to the field of technology, particularly in the area of global hypothesis tracking. His innovative approach has led to the development of a unique patent that enhances the understanding and tracking of target objects.

Latest Patents

Michael Boardman holds a patent for "Locally Invariant Global Hypothesis Tracking." This technology encompasses a system and method for global hypothesis tracking. The method generates one or more paired segments based on track data that represents the kinematic data of target objects. Each paired segment includes a list of tracks that are incompatible with the paired segment, which share common track data, along with a likelihood score. Furthermore, the method generates a transition probability between each pair of paired segments based on the list of incompatible tracks and the associated likelihood score. It also produces one or more multi-segment tracks based on the paired segments and the transition probabilities.

Career Highlights

Michael Boardman is currently employed at Raytheon Company, where he continues to apply his expertise in technology and innovation. His work at Raytheon has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to the industry.

Collaborations

Throughout his career, Michael has worked alongside notable colleagues such as Brian A. Cronin and Nicholas J. Ploplys. These collaborations have fostered a creative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

Michael Boardman's innovative work in global hypothesis tracking exemplifies the impact of technology on understanding complex systems. His contributions continue to shape the future of tracking methodologies and enhance the capabilities of various applications.

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