Invention Application
- Patent Title: PROBABILISTIC SIMULATION SAMPLING FROM AGENT DATA
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Application No.: US17370924Application Date: 2021-07-08
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Publication No.: US20230011497A1Publication Date: 2023-01-12
- Inventor: Johan Engstrom , Emmanuel Christophe , Joseph Lee , Isaac Supeene , Razvan Mathias
- Applicant: Waymo LLC
- Applicant Address: US CA Mountain View
- Assignee: Waymo LLC
- Current Assignee: Waymo LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: B60W60/00
- IPC: B60W60/00 ; B60W30/095 ; G06K9/00

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.
Public/Granted literature
- US11834070B2 Probabilistic simulation sampling from agent data Public/Granted day:2023-12-05
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