Planner system recovery for autonomous vehicles

    公开(公告)号:US11886187B1

    公开(公告)日:2024-01-30

    申请号:US17735191

    申请日:2022-05-03

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure relate to controlling a vehicle in an autonomous driving mode using trajectories. For instance, a trajectory may be received by one or more first computing devices from one or more second computing devices. While the first computing devices are controlling the vehicle in the autonomous driving mode based on the trajectory, an error may be generated by second computing devices. Whether the error is a recoverable error may be determined, and if so, the second computing devices attempt to generate a new trajectory. When the second computing devices generate the new trajectory, the vehicle may be controlled by the first computing devices according to the new trajectory.

    Generating scouting objectives
    134.
    发明授权

    公开(公告)号:US11885639B2

    公开(公告)日:2024-01-30

    申请号:US16989485

    申请日:2020-08-10

    Applicant: Waymo LLC

    CPC classification number: G01C21/3841 G01C21/3822 G05D1/0088 G05D2201/0213

    Abstract: Aspects of the disclosure relate to generating scouting objectives in order to update map information used to control a fleet of vehicles in an autonomous driving mode. For instance, a notification from a vehicle of the fleet identifying a feature and a location of the feature may be received. A first bound for a scouting area may be identified based on the location of the feature. A second bound for the scouting area may be identified based on a lane closest to the feature. A scouting objective may be generated for the feature based on the first bound and the second bound.

    Recurrent neural network classifier
    136.
    发明授权

    公开(公告)号:US11880758B1

    公开(公告)日:2024-01-23

    申请号:US17391627

    申请日:2021-08-02

    Applicant: Waymo LLC

    CPC classification number: G06N3/044 G06N3/045 G06N3/08

    Abstract: Disclosed herein are neural networks for generating target classifications for an object from a set of input sequences. Each input sequence includes a respective input at each of multiple time steps, and each input sequence corresponds to a different sensing subsystem of multiple sensing subsystems. For each time step in the multiple time steps and for each input sequence in the set of input sequences, a respective feature representation is generated for the input sequence by processing the respective input from the input sequence at the time step using a respective encoder recurrent neural network (RNN) subsystem for the sensing subsystem that corresponds to the input sequence. For each time step in at least a subset of the multiple time steps, the respective feature representations are processed using a classification neural network subsystem to select a respective target classification for the object at the time step.

    Timebase Synchronization Using Pulsed Signal Injection

    公开(公告)号:US20240012447A1

    公开(公告)日:2024-01-11

    申请号:US18473591

    申请日:2023-09-25

    Applicant: Waymo LLC

    CPC classification number: G06F1/12 G06F1/08

    Abstract: A method and system to provide timebase synchronization for multiple processors in a multi-processor sensor system, where each processor operates according to a respective reference clock, and where the processors' respective reference clocks are off sync from each other. An example method includes simultaneously injecting a synchronization pulse respectively into the multiple processors. Further, the method includes recording for each processor, according to the processor's respective reference clock, a respective synchronization-pulse timestamp of the simultaneously injected synchronization pulse, comparing the respective synchronization-pulse timestamps recorded for the processors, and, based on the comparing, computing for each processor a respective time offset. Additionally, the method includes using the per-processor computed time offsets as a basis to provide a synchronized timebase across the processors.

    Determining Pickup and Destination Locations for Autonomous Vehicles

    公开(公告)号:US20240011778A1

    公开(公告)日:2024-01-11

    申请号:US18223239

    申请日:2023-07-18

    Applicant: Waymo LLC

    CPC classification number: G06Q10/06311

    Abstract: Aspects of the disclosure provide systems and methods for providing suggested locations for pick up and destination locations. Pick up locations may include locations where an autonomous vehicle can pick up a passenger, while destination locations may include locations where the vehicle can wait for an additional passenger, stop and wait for a passenger to perform some task and return to the vehicle, or for the vehicle to drop off a passenger. As such, a request for a vehicle may be received from a client computing device. The request may identify a first location. A set of one or more suggested locations may be selected by comparing the predetermined locations to the first location. The set may be provided to the client computing device.

    Systems and Methods for Modifying LIDAR Field of View

    公开(公告)号:US20240004039A1

    公开(公告)日:2024-01-04

    申请号:US18368928

    申请日:2023-09-15

    Applicant: Waymo LLC

    CPC classification number: G01S7/4817 G02B26/101 G01S7/4813 G01S17/10

    Abstract: The present disclosure relates to systems, methods, and vehicles that facilitate a light detection and ranging (LIDAR or lidar) system that may take advantage of “dead angles” where the lidar system is oriented toward support structure or another “uninteresting” feature. In such scenarios, light pulses may be redirected toward more-interesting features in the environment. An example system includes a lidar system configured to emit light pulses into an environment of the system so as to provide information indicative of objects within a default field of view. The system also includes a reflective surface optically coupled to the lidar system. The reflective surface is configured to reflect at least a portion of the emitted light pulses so as to provide an extended field of view. The lidar system is further configured to provide information indicative of objects within the extended field of view.

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