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. 30, 2022

Filed:

Jan. 13, 2021
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Hongyi Sun, Sunnyvale, CA (US);

Kecheng Xu, Sunnyvale, CA (US);

Qi Luo, Sunnyvale, CA (US);

Zejun Lin, New York, NY (US);

Wei Wang, Buffalo, NY (US);

Wesley Reynolds, Sunnyvale, CA (US);

Jiangtao Hu, San Jose, CA (US);

Jinghao Miao, San Mateo, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04B 1/00 (2006.01); G10L 25/51 (2013.01); H04R 1/08 (2006.01); H04R 1/40 (2006.01); G06N 20/00 (2019.01); G06N 5/04 (2006.01); G05D 1/02 (2020.01); H04R 3/00 (2006.01);
U.S. Cl.
CPC ...
G10L 25/51 (2013.01); G05D 1/0255 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); H04R 1/08 (2013.01); H04R 1/406 (2013.01); H04R 3/005 (2013.01); H04R 2499/13 (2013.01);
Abstract

Systems and methods for sound source detection and localization utilizing an autonomous driving vehicle (ADV) are disclosed. The method includes receiving audio data from a number of audio sensors mounted on the ADV. The audio data comprises sounds captured by the audio sensors and emitted by one or more sound sources. Based on the received audio data, the method further includes determining a number of sound source information. Each sound source information comprises a confidence score associated with an existence of a specific sound. The method further includes generating a data representation to report whether there exists the specific sound within the driving environment of the ADV. The data representation comprises the determined sound source information. The received audio data and the generated data representation are utilized to subsequently train a machine learning algorithm to recognize the specific sound source during autonomous driving of the ADV in real-time.


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