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:
Aug. 16, 2022

Filed:

Mar. 20, 2020
Applicant:

Aptiv Technologies Limited, St. Michael, BB;

Inventors:

Kanishka Tyagi, Agoura Hills, CA (US);

John Kirkwood, Playa del Rey, CA (US);

Assignee:

Aptiv Technologies Limited, St. Michael, BB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/41 (2006.01); G01S 13/72 (2006.01); G01S 13/931 (2020.01); G01S 13/52 (2006.01); G01S 13/58 (2006.01);
U.S. Cl.
CPC ...
G01S 7/412 (2013.01); G01S 7/415 (2013.01); G01S 13/52 (2013.01); G01S 13/58 (2013.01); G01S 13/723 (2013.01); G01S 13/931 (2013.01);
Abstract

Techniques and apparatuses are described that implement object classification using low-level radar data. In particular, a radar system extracts features of a detected object based on low-level data. The radar system analyzes these features using machine learning to determine an object class associated with the detected object. By relying on low-level data, the radar system is able to extract additional information regarding the distribution of energy across range, range rate, azimuth, or elevation, which is not available in detection-level data. With the use of machine learning, the object can be classified quickly (e.g., within a single frame or observation), thereby enabling sufficient time for the autonomous-driving logic to initiate an appropriate action based on the object's class. Furthermore, this classification can be performed without the use of information from other sensors.


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