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:
Jan. 02, 2024

Filed:

Dec. 23, 2019
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Zijian Guo, Sunnyvale, CA (US);

Nichola Abdo, Mountain View, CA (US);

Junhua Mao, Palo Alto, CA (US);

Congcong Li, Cupertino, CA (US);

Edward Stephen Walker, Jr., San Francisco, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/53 (2019.01); G06N 3/042 (2023.01); G06F 16/538 (2019.01); G06F 16/535 (2019.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); G06N 3/08 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/042 (2023.01); G05D 1/0088 (2013.01); G05D 1/0221 (2013.01); G06F 16/535 (2019.01); G06F 16/538 (2019.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G05D 2201/0213 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for searching an autonomous vehicle sensor data repository. One of the methods includes maintaining a collection of sensor samples and, for each sensor sample, an embedding of the sensor sample; receiving a request specifying a query sensor sample, wherein the query sensor sample characterizes a query environment region; and identifying, from the collection of sensor samples, a plurality of relevant sensor samples that characterize similar environment regions to the query environment region, comprising: processing the query sensor sample through the embedding neural network to generate a query embedding; and identifying, from sensor samples in a subset of the sensor samples in the collection, a plurality of sensor samples that have embeddings that are closest to the query embedding.


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