Sensor assembly
    171.
    外观设计

    公开(公告)号:USD1001654S1

    公开(公告)日:2023-10-17

    申请号:US29818347

    申请日:2021-12-08

    Applicant: Waymo LLC

    Abstract: FIG. 1 is a top, front, left perspective view of a first embodiment of the claimed design for a sensor assembly;
    FIG. 2 is a front view thereof;
    FIG. 3 is a back view thereof;
    FIG. 4 is a right side view thereof;
    FIG. 5 is a left side view thereof;
    FIG. 6 is a top view thereof;
    FIG. 7 is a bottom view thereof;
    FIG. 8 is a top, front, left perspective view of a second embodiment of the claimed design for a sensor assembly;
    FIG. 9 is a front view thereof;
    FIG. 10 is a back view thereof;
    FIG. 11 is a right side view thereof;
    FIG. 12 is a left side view thereof;
    FIG. 13 is a top view thereof;
    FIG. 14 is a bottom view thereof;
    FIG. 15 is a top, front, left perspective view of a third embodiment of the claimed design for a sensor assembly;
    FIG. 16 is a front view thereof;
    FIG. 17 is a back view thereof;
    FIG. 18 is a right side view thereof;
    FIG. 19 is a left side view thereof;
    FIG. 20 is a top view thereof;
    FIG. 21 is a bottom view thereof;
    FIG. 22 is a top, front, left perspective view of a fourth embodiment of the claimed design for a sensor assembly;
    FIG. 23 is a front view thereof;
    FIG. 24 is a back view thereof;
    FIG. 25 is a right side view thereof;
    FIG. 26 is a left side view thereof;
    FIG. 27 is a top view thereof;
    FIG. 28 is a bottom view thereof;
    FIG. 29 is a top, front, left perspective view of a fifth embodiment of the claimed design for a sensor assembly;
    FIG. 30 is a front view thereof;
    FIG. 31 is a back view thereof;
    FIG. 32 is a right side view thereof;
    FIG. 33 is a left side view thereof;
    FIG. 34 is a top view thereof;
    FIG. 35 is a bottom view thereof;
    FIG. 36 is a top, front, left perspective view of a sixth embodiment of the claimed design for a sensor assembly;
    FIG. 37 is a front view thereof;
    FIG. 38 is a back view thereof;
    FIG. 39 is a right side view thereof;
    FIG. 40 is a left side view thereof;
    FIG. 41 is a top view thereof;
    FIG. 42 is a bottom view thereof;
    FIG. 43 is a top, front, left perspective view of a seventh embodiment of the claimed design for a sensor assembly;
    FIG. 44 is a front view thereof;
    FIG. 45 is a back view thereof;
    FIG. 46 is a right side view thereof;
    FIG. 47 is a left side view thereof;
    FIG. 48 is a top view thereof;
    FIG. 49 is a bottom view thereof;
    FIG. 50 is a top, front, left perspective view of an eighth embodiment of the claimed design for a sensor assembly;
    FIG. 51 is a front view thereof;
    FIG. 52 is a back view thereof;
    FIG. 53 is a right side view thereof;
    FIG. 54 is a left side view thereof;
    FIG. 55 is a top view thereof;
    FIG. 56 is a bottom view thereof; and,
    FIG. 57 is a left side view of a ninth embodiment of the claimed design for a sensor assembly showing indeterminate length, wherein the remaining orthographic views of the ninth embodiment are otherwise identical to the corresponding orthographic views in the first, second, third, fourth, fifth, sixth, seventh, and/or eighth embodiments.
    The broken lines showing the remainder of the sensor assembly depict environmental structure and form no part of the claimed design. The bracket and break line indicia, and distance between the break lines, in FIG. 57 represent indeterminate length and form no part of the claimed design.

    FUEL-ECONOMY OPTIMIZATION FOR AUTONOMOUS DRIVING SYSTEMS

    公开(公告)号:US20230315107A1

    公开(公告)日:2023-10-05

    申请号:US18130392

    申请日:2023-04-03

    Applicant: Waymo LLC

    Abstract: A method includes identifying route data including a threshold arrival time for a route for an autonomous vehicle (AV) and calculating, based on the route data and a fuel-efficient speed value for each segment of the route, an estimated arrival time. Responsive to the estimated arrival time not meeting the threshold arrival time, the method includes identifying at least a subset of segments that each represent a candidate for speed increase, computing, for each segment in the subset and based on the fuel economy data, a correlation metric that indicates a correlation between a change in fuel economy and a change in speed for a corresponding segment in the subset, and increasing, for at least one segment from the subset and based on a respective correlation metric, a fuel-efficient speed value of the corresponding segment from the subset to provide a speed profile reflecting the increased fuel-efficient speed value.

    Light detection and ranging (LIDAR) device range aliasing resilience by multiple hypotheses

    公开(公告)号:US11774590B2

    公开(公告)日:2023-10-03

    申请号:US16989509

    申请日:2020-08-10

    Applicant: Waymo LLC

    Abstract: A computing system may operate a LIDAR device to emit light pulses in accordance with a time sequence including a time-varying dither. The system may then determine that the LIDAR detected return light pulses during corresponding detection periods for each of two or more emitted light pulses. Responsively, the system may determine that the detected return light pulses have (i) detection times relative to corresponding emission times of a plurality of first emitted light pulses that are indicative of a first set of ranges and (ii) detection times relative to corresponding emission times of a plurality of second emitted light pulses that are indicative of a second set of ranges. Given this, the system may select between using the first set of ranges as a basis for object detection and using the second set of ranges as a basis for object detection, and may then engage in object detection accordingly.

    END-TO-END PROCESSING IN AUTOMATED DRIVING SYSTEMS

    公开(公告)号:US20230294687A1

    公开(公告)日:2023-09-21

    申请号:US18169105

    申请日:2023-02-14

    Applicant: Waymo LLC

    Abstract: The described aspects and implementations enable efficient object detection and tracking. In one implementation, disclosed is a method and a system to perform the method, the system including the sensing system configured to obtain sensing data characterizing an environment of the vehicle. The system further includes a data processing system operatively coupled to the sensing system and configured to process the sensing data using a first (second) set of neural network (NN) layers to obtain a first (second) set of features for a first (second) region of the environment, the first (second) set of features is associated with a first (second) spatial resolution. The data processing system is further to process the two sets of features using a second set of NN layers to detect a location of obj ect(s) in the environment of the vehicle and a state of motion of the object(s).

    Localization adaptation based on weather estimation

    公开(公告)号:US11761769B2

    公开(公告)日:2023-09-19

    申请号:US17708477

    申请日:2022-03-30

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure provide for localizing a vehicle. In one instance, a weather condition in which the vehicle is currently driving may be identified. A plurality of sensor inputs including intensity information, elevation information, and radar sensor information may be received. For each of the plurality of sensor inputs, an alignment score is determined by comparing the intensity information, elevation information, and radar sensor information to a corresponding pre-stored image for each of the intensity information, the elevation information, and the radar sensor information. A set of weights for the plurality of sensor inputs may be determined based on the identified weather condition. The alignment scores may then be combined using the set of weights in order to localize the vehicle.

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