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. 31, 2021

Filed:

Oct. 04, 2018
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Yu-Han Chen, Sunnyvale, CA (US);

Wan-Yen Lo, Sunnyvale, CA (US);

Alper Ayvaci, Santa Clara, CA (US);

Abhijit Ogale, Sunnyvale, CA (US);

Hyman Murveit, Portola Valley, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 17/04 (2020.01); G06N 20/00 (2019.01); G01S 17/89 (2020.01); G06K 9/00 (2006.01); G06N 3/08 (2006.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G01S 17/04 (2020.01); G01S 17/89 (2013.01); G06K 9/00805 (2013.01); G06N 3/08 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06T 2207/20132 (2013.01); G06T 2207/30261 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a location of a particular object relative to a vehicle. In one aspect, a method includes obtaining sensor data captured by one or more sensors of a vehicle. The sensor data is processed by a convolutional neural network to generate a sensor feature representation of the sensor data. Data is obtained which defines a particular spatial region in the sensor data that has been classified as including sensor data that characterizes the particular object. An object feature representation of the particular object is generated from a portion of the sensor feature representation corresponding to the particular spatial region. The object feature representation of the particular object is processed using a localization neural network to generate the location of the particular object relative to the vehicle.


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