Auburn Hills, MI, United States of America

Randall Johnson


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovations of Randall Johnson

Introduction

Randall Johnson is an accomplished inventor based in Auburn Hills, MI (US). He has made significant contributions to the field of machine learning and vehicle classification. His innovative work has led to the development of a unique patent that enhances the capabilities of highway radar systems.

Latest Patents

Johnson holds a patent for a groundbreaking invention titled "Machine learning based highway radar vehicle classification across multiple lanes and speeds." This patent outlines systems and methods for training and utilizing machine learning models to classify vehicles detected by highway radar systems. The training systems leverage auxiliary radar processing to differentiate events by lane, length, and speed. By pooling data from similar or proximate lanes, lengths, and speeds, multiple models can be trained effectively. During estimation, incoming events are grouped similarly to the training phase, allowing for the selection of the appropriate model. The application of the selected model's neural network operations generates accurate estimates through successive applications of multiple linear convolutions and other processing steps.

Career Highlights

Johnson's career is marked by his dedication to advancing technology in vehicle classification. His work at Image Sensing Systems, Inc. has positioned him as a leader in the field. His innovative approach to machine learning and radar technology has garnered attention and respect within the industry.

Collaborations

Throughout his career, Johnson has collaborated with talented individuals such as Ezekiel Kruglick and Michael J Jaques. These partnerships have contributed to the success of his projects and the advancement of technology in vehicle classification.

Conclusion

Randall Johnson's contributions to machine learning and vehicle classification through his innovative patent demonstrate his expertise and commitment to technological advancement. His work continues to influence the industry and pave the way for future innovations.

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