Collision evaluation for log-based simulations

    公开(公告)号:US11989116B1

    公开(公告)日:2024-05-21

    申请号:US17834389

    申请日:2022-06-07

    Applicant: Waymo LLC

    CPC classification number: G06F11/3664 G06F11/3684

    Abstract: The disclosure relates to testing software for operating an autonomous vehicle. For instance, a first simulation may be run. The simulation may be run using the software to control a simulated vehicle and at least one agent. During the running of the first simulation, whether a particular type of interaction between the simulated vehicle and the at least one agent has occurred may be determined. In response to this determination, a second simulation may be run using the log data by replacing the at least one agent with a model agent that simulates a road user capable of responding to actions performed by the simulated vehicle. The second simulation may be used to determine in order to determine whether the software is able to complete the second simulation without the particular type of interaction between a second simulated vehicle and the model agent occurring.

    Speed Reasoning in the Presence of Uncertainty When Pulling Over

    公开(公告)号:US20240151544A1

    公开(公告)日:2024-05-09

    申请号:US18513884

    申请日:2023-11-20

    Applicant: Waymo LLC

    Abstract: The technology involves pullover maneuvers for vehicles operating in an autonomous driving mode. A vehicle operating in an autonomous driving mode is able to identify parking locations that may be occluded or otherwise not readily visible. A best case estimation for any potential parking locations, including partially or fully occluded areas, is compared against predictions for identified visible parking locations. This can include calculating a cost for each potential parking location and comparing that cost to a baseline cost. Upon determining that an occluded location would provide a more viable option than any visible parking locations, the vehicle is able to initiate a driving adjustment (e.g., slow down) prior to arriving at the occluded location. This enables the vehicle to minimize passenger discomfort while also providing notice to other road users of an intent to pull over.

    Stop Location Change Detection
    110.
    发明公开

    公开(公告)号:US20240135727A1

    公开(公告)日:2024-04-25

    申请号:US18403316

    申请日:2024-01-03

    Applicant: WAYMO LLC

    Abstract: The technology relates to approaches for determining appropriate stopping locations at intersections for vehicles operating in a self-driving mode. While many intersections have stop lines painted on the roadway, many others have no such lines. Even if a stop line is present, the physical location may not match what is in store map data, which may be out of date due to construction or line repainting. Aspects of the technology employ a neural network that utilizes input training data and detected sensor data to perform classification, localization and uncertain estimation processes. Based on these processes, the system is able to evaluate distribution information for possible stop locations. The vehicle uses such information to determine an optimal stop point, which may or may not correspond to a stop line in the map data. This information is also used to update the existing map data, which can be shared with other vehicles.

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