Secondary disengage alert for autonomous vehicles

    公开(公告)号:US12202498B2

    公开(公告)日:2025-01-21

    申请号:US18512297

    申请日:2023-11-17

    Applicant: WAYMO LLC

    Abstract: Aspects of the disclosure provide for determining when to provide and providing secondary disengage alerts for a vehicle having autonomous and manual driving modes. For instance, while the vehicle is being controlled in the autonomous driving mode, user input is received at one or more user input devices of the vehicle. In response to receiving the user input, the vehicle may be transitioned from the autonomous driving mode to a manual driving mode and provide a primary disengage alert to an occupant of the vehicle regarding the transition. Whether to provide a secondary disengage alert may be determined based on at least circumstances of the user input. After the transition, the secondary disengage alert may be provided based on the determination.

    Systems and methods for detecting and dynamically mitigating driver fatigue

    公开(公告)号:US11634145B2

    公开(公告)日:2023-04-25

    申请号:US17025048

    申请日:2020-09-18

    Applicant: Waymo LLC

    Abstract: This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.

    Systems and methods for detecting and dynamically mitigating driver fatigue

    公开(公告)号:US11491994B2

    公开(公告)日:2022-11-08

    申请号:US17024998

    申请日:2020-09-18

    Applicant: Waymo LLC

    Abstract: This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.

    FALLBACK REQUESTS FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20220180753A1

    公开(公告)日:2022-06-09

    申请号:US17666808

    申请日:2022-02-08

    Applicant: WAYMO LLC

    Abstract: Aspects of the present disclosure relate to a system having a memory, a plurality of self-driving systems for controlling a vehicle, and one or more processors. The processors are configured to receive at least one fallback task in association with a request for a primary task and at least one trigger of each fallback task. Each trigger is a set of conditions that, when satisfied, indicate when a vehicle requires attention for proper operation. The processors are also configured to send instructions to the self-driving systems to execute the primary task and receive status updates from the self-driving systems. The processors are configured to determine that a set of conditions of a trigger is satisfied based on the status updates and send further instructions based on the associated fallback task to the self-driving systems.

    Determining And Displaying Auto Drive Lanes In An Autonomous Vehicle

    公开(公告)号:US20210140786A1

    公开(公告)日:2021-05-13

    申请号:US17097392

    申请日:2020-11-13

    Applicant: Waymo LLC

    Abstract: Aspects of the present disclosure relate generally to identifying and displaying traffic lanes that are available for autonomous driving. This information may be displayed to a driver of a vehicle having an autonomous driving mode, in order to inform the driver of where he or she can use the autonomous driving mode. In one example, the display may visually distinguishing between lanes that are available for auto-drive from those that are not. The display may also include an indicator of the position of a lane (autodrive or not) currently occupied by the vehicle. In addition, if that lane is an autodrive lane the display may include information indicating how much further the vehicle may continue in the autonomous driving mode in that particular lane. The display may also display information indicating the remaining autodrive distance in other lanes as well as the lane with the greatest remaining autodrive distance.

    Systems And Methods For Detecting And Dynamically Mitigating Driver Fatigue

    公开(公告)号:US20210001865A1

    公开(公告)日:2021-01-07

    申请号:US17025048

    申请日:2020-09-18

    Applicant: Waymo LLC

    Abstract: This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle

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