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:
Dec. 20, 2022

Filed:

Jun. 13, 2019
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Tyler C. Staudinger, Huntsville, AL (US);

Nick S. Evans, Lynnwood, WA (US);

Assignee:

The Boeing Company, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/00 (2006.01); G01S 13/934 (2020.01); G01S 17/894 (2020.01); G01M 15/14 (2006.01); G01S 13/86 (2006.01); G01S 17/10 (2020.01); G01S 17/933 (2020.01); G01S 19/14 (2010.01); G01W 1/00 (2006.01);
U.S. Cl.
CPC ...
G01S 13/934 (2020.01); G01M 15/14 (2013.01); G01S 13/862 (2013.01); G01S 13/867 (2013.01); G01S 17/10 (2013.01); G01S 17/894 (2020.01); G01S 17/933 (2013.01); G01S 19/14 (2013.01); G01W 1/00 (2013.01);
Abstract

In an example, a method is described. The method includes causing one or more sensors arranged on an aircraft to acquire, over a window of time, first data associated with a first object that is within an environment of the aircraft, where the one or more sensors include one or more of a light detection and ranging (LIDAR) sensor, a radar sensor, or a camera, causing an array of microphones arranged on the aircraft to acquire, over approximately the same window of time as the first data is acquired, first acoustic data associated with the first object, and training a machine learning model by using the first acoustic data as an input value to the machine learning model and by using an azimuth, a range, an elevation, and a type of the first object identified from the first data as ground truth output labels for the machine learning model.


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