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. 20, 2024

Filed:

Nov. 25, 2020
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Jiyang Gao, San Jose, CA (US);

Zijian Guo, Sunnyvale, CA (US);

Congcong Li, Cupertino, CA (US);

Xiaowei Li, Los Altos, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/24 (2019.01); B60W 60/00 (2020.01); G06F 30/27 (2020.01); G06N 3/02 (2006.01); G06N 3/08 (2023.01); G06V 20/56 (2022.01); G08G 1/01 (2006.01);
U.S. Cl.
CPC ...
G06N 3/02 (2013.01); B60W 60/0027 (2020.02); G06F 30/27 (2020.01); G06N 3/08 (2013.01); G06V 20/56 (2022.01); G08G 1/0104 (2013.01); B60W 2554/4045 (2020.02); B60W 2554/4046 (2020.02);
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 one or more embeddings of each sensor sample. Each sensor sample is generated from sensor data at multiple time steps and characterizes an environment at each of the multiple time steps. Each embedding corresponds to a respective portion of the sensor sample and has been generated by an embedding neural network. A query specifying a query portion of a query sensor sample is received. A query embedding corresponding to the query portion of the query sensor sample is generated through the embedding neural network. A plurality of relevant sensor samples that have embeddings that are closest to the query embedding are identified as characterizing similar scenarios to the query portion of the query sensor sample.


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