中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

3169 records (took 0.035 seconds)

    Laminate structures for maintaining clear apertures
    151.
    发明授权
    Laminate structures for maintaining clear apertures 有权

    公开(公告)号：US11852753B1

    公开(公告)日：2023-12-26

    申请号：US16593531

    申请日：2019-10-04

    Applicant: Waymo LLC

    Inventor： William Grossman ,  Troy Scott Storz ,  Matthew Carroll

    IPC: G01S7/497 ,  G01S7/481

    CPC classification number: G01S7/497 ,  G01S7/4813 ,  G01S2007/4977

    Abstract: A sensor (e.g., an optical sensor) is disposed in an enclosure that separates it from an external environment. The enclosure includes an aperture comprising a transparent material. A laminate comprising a plurality of transparent films is coupled to the aperture such that the sensor has a field of view of the external environment through the transparent material of the aperture and the plurality of transparent films. The laminate includes an exposed transparent film that is exposed to the external environment and that is removable to expose an underlying film in the laminate when dirt, debris, or other obscuring material has collected on it. A laminate module that includes the laminate, a laminate sensor, and a peeling mechanism may be removably mounted on the aperture. The laminate sensor can sense the number of transparent films remaining in the laminate. The peeling mechanism can peel away individual transparent films in the laminate.

    ROAD CONDITION DEEP LEARNING MODEL
    155.
    发明公开
    ROAD CONDITION DEEP LEARNING MODEL 审中-公开

    公开(公告)号：US20230409971A1

    公开(公告)日：2023-12-21

    申请号：US18238741

    申请日：2023-08-28

    Applicant: Waymo LLC

    Inventor： Xin Zhou ,  Roshni Cooper ,  Michael James

    IPC: G06N20/00 ,  B60W40/06 ,  B60W60/00 ,  G05D1/02 ,  G06N3/08

    CPC classification number: G06N20/00 ,  B60W40/06 ,  B60W60/0015 ,  G05D1/0231 ,  G05D1/0255 ,  G05D1/0257 ,  G06N3/08 ,  G05D2201/0213 ,  B60W2555/20 ,  B60W2420/52 ,  B60W2420/42 ,  B60W2420/54

    Abstract: The technology relates to using on-board sensor data, off-board information and a deep learning model to classify road wetness and/or to perform a regression analysis on road wetness based on a set of input information. Such information includes on-board and/or off-board signals obtained from one or more sources including on-board perception sensors, other on-board modules, external weather measurement, external weather services, etc. The ground truth includes measurements of water film thickness and/or ice coverage on road surfaces. The ground truth, on-board and off-board signals are used to build the model. The constructed model can be deployed in autonomous vehicles for classifying/regressing the road wetness with on-board and/or off-board signals as the input, without referring to the ground truth. The model can be applied in a variety of ways to enhance autonomous vehicle operation, for instance by altering current driving actions, modifying planned routes or trajectories, activating on-board cleaning systems, etc.

    Sensor assembly
    157.
    外观设计
    Sensor assembly 有权

    公开(公告)号：USD1007347S1

    公开(公告)日：2023-12-12

    申请号：US29820819

    申请日：2021-12-23

    Applicant: Waymo LLC

    Designer： YooJung Ahn ,  Toshihiro Fujimura ,  Jared Gross ,  Solomon Lyman

    Abstract: The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.
    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; and,
    FIG. 56 is a bottom view thereof.
    The broken lines showing the remainder of the sensor assembly depict environmental structure and form no part of the claimed design.

    Systems and methods for adaptive range coverage using LIDAR
    158.
    发明授权
    Systems and methods for adaptive range coverage using LIDAR 有权

    公开(公告)号：US11841464B2

    公开(公告)日：2023-12-12

    申请号：US17659674

    申请日：2022-04-19

    Applicant: Waymo LLC

    Inventor： Mark Alexander Shand

    IPC: G01S7/48 ,  G01S7/484 ,  G01S17/89 ,  G01S7/481 ,  G01S7/4861 ,  G01S1/10 ,  G01S17/931

    CPC classification number: G01S7/484 ,  G01S1/10 ,  G01S7/4813 ,  G01S7/4815 ,  G01S7/4861 ,  G01S17/89 ,  G01S17/931

    Abstract: The present disclosure relates to systems and methods that facilitate light detection and ranging operations. An example method includes determining, for at least one light-emitter device of a plurality of light-emitter devices, a light pulse schedule. The plurality of light-emitter devices is operable to emit light along a plurality of emission vectors. The light pulse schedule is based on a respective emission vector of the at least one light-emitter device and a three-dimensional map of an external environment. The light pulse schedule includes at least one light pulse parameter and a listening window duration. The method also includes causing the at least one light-emitter device of the plurality of light-emitter devices to emit a light pulse according to the light pulse schedule. The light pulse interacts with an external environment.

    Optimized high speed lidar mirror design
    159.
    发明授权
    Optimized high speed lidar mirror design 有权

    公开(公告)号：US11841463B2

    公开(公告)日：2023-12-12

    申请号：US17941118

    申请日：2022-09-09

    Applicant: WAYMO LLC

    Inventor： Paul Karplus ,  Blaise Gassend ,  David Duff

    IPC: G02F1/295 ,  G01S7/481 ,  G02B26/12

    CPC classification number: G01S7/4817 ,  G02B26/12

    Abstract: Aspects of the technology employ sensors having high speed rotating mirror assemblies. For instance, the sensors may be Lidar sensors configured to detect people and other objects in an area of interest. A given mirror assembly may have a triangular or other geometric cross-sectional shape. The reflective faces of the mirror assembly may connect along edges or corners. In order to minimize wind drag and torque issues, the corners are rounded, filleted, beveled, chamfered or otherwise truncated. Such truncation may extend the length of the mirror side. The mirror assembly may employ one or more beam stops, light baffles and/or acoustic/aerodynamic baffles. These sensors may be employed with self-driving or manual driven vehicles or other equipment. The sensors may also be used in and around buildings.

    Automatically requesting vehicles
    160.
    发明授权
    Automatically requesting vehicles 有权

    公开(公告)号：US11841236B1

    公开(公告)日：2023-12-12

    申请号：US17486059

    申请日：2021-09-27

    Applicant: Waymo LLC

    Inventor： Anne Kristina Aula ,  Brian Douglas Cullinane ,  Daniel Jules Switkin ,  Jennifer Arden ,  Renaud-Roland Hubert

    IPC: G01C21/36 ,  G06Q50/30 ,  G06Q10/1093

    CPC classification number: G01C21/3614 ,  G01C21/362 ,  G01C21/367 ,  G06Q10/1095 ,  G06Q50/30

    Abstract: Aspects of the present disclosure relate to a vehicle for maneuvering a passenger to a destination autonomously. The vehicle includes one or more computing devices that receive a request for a vehicle from a client computing device. The request identifies a first location. The one or more computing devices also determine whether the first location is within a threshold outside of a service area of the vehicle. When the location is within the threshold distance outside of the service area of the vehicle, the one or more computing devices identify a second location within the service area of the vehicle where the vehicle is able to stop for a passenger and based on the first location. The one or more computing devices then provide a map and a marker identifying the position of the second location on the map for display on the client computing device.

Patent Agency Ranking