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:
Jun. 30, 2026

Filed:

Nov. 16, 2021
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Paul Roales, Mountain View, CA (US);

Shir Yehoshua, San Francisco, CA (US);

Franklin Morley, East Palo Alto, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 50/14 (2020.01); G06F 3/04842 (2022.01); G06F 3/04847 (2022.01); G06F 16/11 (2019.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); B60W 50/14 (2013.01); G06F 3/04842 (2013.01); G06F 3/04847 (2013.01); G06F 16/128 (2019.01); B60W 2050/146 (2013.01); B60W 2420/403 (2013.01); B60W 2540/215 (2020.02); B60W 2554/4041 (2020.02); B60W 2554/4045 (2020.02);
Abstract

Aspects of the technology employs snapshots, which are serialized sets of inputs for evaluating a components of a vehicle's autonomous driving system. Snapshots can be performed very quickly with minimal compile latency and runtime, allowing rapid evaluation of individual autonomous vehicle elements in isolation. Parameter variation and changes to initial conditions associated with a given component may be applied via a robust user interface (UI), enabling a user to perform permutations to a component or scenario and receive immediate feedback, e.g., graphically presented in a three-dimensional (3D) scene to understand how the vehicle is operating. The UI may include various control elements to enable real-time adjustment to the parameters or conditions of a snapshot. This can include one or more mutations of a snapshot to evaluate different situations or conditions, which can further aid in understanding how the vehicle would function in an autonomous driving mode.


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