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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.

Patent No.:

US 11493922 B1

PDFFull Text
Date of Patent:
Nov. 08, 2022

Filed:

Jan. 08, 2020

Perimeter sensor housings

Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Peter Avram, Ann Arbor, MI (US);

Kimberly Toth, Sunnyvale, CA (US);

Jeremy Dittmer, Mountain View, CA (US);

Giulia Guidi, Mountain View, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:

Botos Churchill IP Law

Primary Examiner:

Tan Q Nguyen

Int. Cl.
CPC ...
G05D 1/00 (2006.01); G01S 17/86 (2020.01); G01S 7/481 (2006.01); G01S 13/86 (2006.01); G01S 7/02 (2006.01); G01S 17/89 (2020.01); G01S 13/89 (2006.01); G05D 1/02 (2020.01); B60W 60/00 (2020.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); H04N 5/235 (2006.01); G06V 20/58 (2022.01); G06K 9/62 (2022.01); B60S 1/56 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); B60W 10/18 (2013.01); B60W 10/20 (2013.01); B60W 60/001 (2020.02); G01S 7/02 (2013.01); G01S 7/4813 (2013.01); G01S 13/867 (2013.01); G01S 13/89 (2013.01); G01S 17/86 (2020.01); G01S 17/89 (2013.01); G05D 1/0214 (2013.01); G06V 20/58 (2022.01); H04N 5/2354 (2013.01); B60S 1/56 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2710/18 (2013.01); B60W 2710/20 (2013.01); B60W 2720/10 (2013.01); G01S 7/027 (2021.05); G05D 2201/0213 (2013.01); G06K 9/6288 (2013.01);
Abstract

The technology relates to an exterior sensor system for a vehicle configured to operate in an autonomous driving mode. The technology includes a close-in sensing (CIS) camera system to address blind spots around the vehicle. The CIS system is used to detect objects within a few meters of the vehicle. Based on object classification, the system is able to make real-time driving decisions. Classification is enhanced by employing cameras in conjunction with lidar sensors. The specific arrangement of multiple sensors in a single sensor housing is also important to object detection and classification. Thus, the positioning of the sensors and support components are selected to avoid occlusion and to otherwise prevent interference between the various sensor housing elements.

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