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:
Dec. 05, 2023

Filed:

Jul. 08, 2021
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Johan Engstrom, Los Gatos, CA (US);

Emmanuel Christophe, Mountain View, CA (US);

Joseph Lee, Menlo Park, CA (US);

Isaac Supeene, South San Francisco, CA (US);

Razvan Mathias, San Jose, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 30/095 (2012.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
B60W 60/0011 (2020.02); B60W 30/0956 (2013.01); G06V 40/20 (2022.01); B60W 2554/4046 (2020.02); B60W 2554/4049 (2020.02);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining the likelihood that a particular event would occur during a navigation interaction using simulations generated by sampling from agent data. In one aspect, a method comprises: identifying an instance of a navigation interaction that includes an autonomous vehicle and agents navigating in an environment; generating multiple simulated interactions corresponding to the instance, comprising, for each simulated interaction: identifying one or more agents; for each identified agent and for each property that characterizes behavior of the identified agent, obtaining a probability distribution for the property; sampling a respective value from each of the probability distributions; and simulating the navigation interaction in accordance with the sampled values; and determining a likelihood that the particular event would occur during the navigation interaction based on whether the particular event occurred during each of the simulated interactions.


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