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. 08, 2025

Filed:

Jan. 14, 2021
Applicant:

Baidu Usa Llc, Sunnyvale, CA (US);

Inventors:

Kecheng Xu, Sunnyvale, CA (US);

Hongyi Sun, Sunnyvale, CA (US);

Qi Luo, Sunnyvale, CA (US);

Wei Wang, Sunnyvale, CA (US);

Zejun Lin, Sunnyvale, CA (US);

Wesley Reynolds, Sunnyvale, CA (US);

Feng Liu, Sunnyvale, CA (US);

Jiangtao Hu, Sunnyvale, CA (US);

Jinghao Miao, Sunnyvale, CA (US);

Assignee:

BAIDU USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); B60W 30/18 (2012.01); G05B 13/02 (2006.01); G06F 18/21 (2023.01); G06N 3/045 (2023.01); G06V 10/22 (2022.01); G06V 20/40 (2022.01); G06V 20/58 (2022.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01); H04N 23/90 (2023.01); H04R 1/08 (2006.01); H04R 1/40 (2006.01); H04R 3/00 (2006.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); B60W 10/18 (2013.01); B60W 10/20 (2013.01); B60W 30/18163 (2013.01); G05B 13/027 (2013.01); G06F 18/21 (2023.01); G06N 3/045 (2023.01); G06V 10/22 (2022.01); G06V 20/41 (2022.01); G06V 20/584 (2022.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01); H04N 23/90 (2023.01); H04R 1/08 (2013.01); H04R 1/406 (2013.01); H04R 3/005 (2013.01); B60W 2420/40 (2013.01); B60W 2420/54 (2013.01); B60W 2554/402 (2020.02); B60W 2554/4041 (2020.02); B60W 2554/4044 (2020.02); H04R 2499/13 (2013.01);
Abstract

In one embodiment, an emergency vehicle detection system can be provided in the ADV travelling on a road to detect the presence of an emergency vehicle in a surrounding environment of the ADV using both audio data and visual data. The emergency vehicle detection system can use a trained neutral network to independently generate a detection result from the audio data, and use another trained network to independently generate another detection result from the visual data. The emergency vehicle detection system can fuse the two detection results to determine the position and moving direction of the emergency vehicle. The ADV can take appropriate actions in response to the position and moving direction of the emergency vehicle.


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