Fredericksburg, VA, United States of America

Jonathan Goldstein


Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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6 patents (USPTO):Explore Patents

Title: The Innovations of Jonathan Goldstein

Introduction

Jonathan Goldstein is an accomplished inventor based in Fredericksburg, VA. He has made significant contributions to the field of vehicle classification technology, holding a total of six patents. His work focuses on utilizing advanced methods and systems to enhance vehicle detection and classification.

Latest Patents

One of Goldstein's latest patents is titled "Shape-based vehicle classification using laser scan and neural network." This innovative method involves receiving a time series of distance measurements from a laser scan device at a tolling station. It determines height measurements of a vehicle from the road surface and generates an image of these measurements. The image is then classified using a convolutional neural network (CNN).

Another notable patent is "Robust correlation of vehicle extents and locations when given noisy detections and limited field-of-view image frames." In this patent, a computer accesses multiple image frames to identify vehicle front and back detections. It pairs these detections based on camera angles and assigns scores to each detection pair. This process allows for accurate labeling of specific vehicles, even in challenging detection scenarios.

Career Highlights

Goldstein is currently employed at Raytheon Company, where he continues to develop innovative solutions in vehicle classification technology. His expertise and contributions have positioned him as a key figure in his field.

Collaborations

Throughout his career, Goldstein has collaborated with notable colleagues, including Philip A Sallee and Franklin R Tanner. These partnerships have further enhanced the impact of his work in the industry.

Conclusion

Jonathan Goldstein's innovative patents and contributions to vehicle classification technology demonstrate his expertise and commitment to advancing the field. His work continues to influence the way vehicles are detected and classified, showcasing the importance of innovation in technology.

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