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. 24, 2023

Filed:

Sep. 15, 2020
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

David Harrison Silver, San Carlos, CA (US);

Carlos Hernandez Esteban, Kirkland, WA (US);

Michael Montemerlo, Mountain View, CA (US);

Peter Pawlowski, Menlo Park, CA (US);

David Yonchar Margines, Sunnyvale, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/02 (2020.01); G06V 10/75 (2022.01); G06V 20/56 (2022.01); H04W 4/46 (2018.01);
U.S. Cl.
CPC ...
G05D 1/0251 (2013.01); G05D 1/0219 (2013.01); G06V 10/757 (2022.01); G06V 20/56 (2022.01); H04W 4/46 (2018.02);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing data characterizing a first region in an environment to generate a prediction characterizing a second region in the environment. One of the methods includes obtaining surfel data comprising a plurality of surfels; obtaining sensor data for a plurality of locations in a first region of the environment; determining, from the surfel data, a plurality of first surfels corresponding to respective locations in the first region of the environment; determining, using the first surfels and the sensor data, a difference between i) a first representation of the first region of the environment corresponding to the first surfels and ii) a second representation of the first region of the environment corresponding to the sensor data; and generating a respective object prediction for one or more locations in a second region of the environment.


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