The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 26, 2022

Filed:

Jan. 15, 2019
Applicant:

Image Sensing Systems, Inc., St. Paul, MN (US);

Inventors:

Ezekiel Kruglick, Poway, CA (US);

Michael Jaques, Roseville, MN (US);

Seth Anderson, New Brighton, MN (US);

James Cikanek, Lakeville, MN (US);

Zachary Pearson, Saint Paul, MN (US);

Randall Johnson, Spring Lake Park, MN (US);

Aaron Becker, Minneapolis, MN (US);

Levi Remily, Saint Paul, MN (US);

Saad Bedros, West St Paul, MN (US);

Assignee:

Image Sensing Systems, Inc., St. Paul, MN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/41 (2006.01); G06N 3/08 (2006.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G01S 7/417 (2013.01); G01S 7/415 (2013.01); G01S 7/412 (2013.01); G06N 3/08 (2013.01); G06V 20/58 (2022.01);
Abstract

Systems and methods for training and using machine learning models to classify vehicles from highway radar systems are provided. The training systems may use auxiliary radar processing to separate events by lane, length, and/or speed, and then use separate event data groups pooled from similar or proximate lanes, lengths, and/or speeds to train multiple models. At estimation time, incoming events may be grouped using similar groupings as those used during training to select which model to use. An incoming event may be applied to the neural network operations of the selected model to generate an estimate. Generating an estimate may involve successive applications of multiple linear convolutions and other steps along varying or alternating dimensions of the in-process data.


Find Patent Forward Citations

Loading…