Detecting environment changes using surfel data

    公开(公告)号:US11561552B2

    公开(公告)日:2023-01-24

    申请号:US17021828

    申请日:2020-09-15

    Applicant: Waymo LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing data characterizing a first region in an environment to generate a prediction characterizing a second region in the environment. One of the methods includes obtaining surfel data comprising a plurality of surfels; obtaining sensor data for a plurality of locations in a first region of the environment; determining, from the surfel data, a plurality of first surfels corresponding to respective locations in the first region of the environment; determining, using the first surfels and the sensor data, a difference between i) a first representation of the first region of the environment corresponding to the first surfels and ii) a second representation of the first region of the environment corresponding to the sensor data; and generating a respective object prediction for one or more locations in a second region of the environment.

    Long Range Localization with Surfel Maps

    公开(公告)号:US20220108119A1

    公开(公告)日:2022-04-07

    申请号:US17064339

    申请日:2020-10-06

    Applicant: Waymo LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a surfel map to generate long range localization. One of the methods includes obtaining, for a particular location of a vehicle having a camera and a detection sensor, surfel data including a plurality of surfels. Each surfel in the surfel data has a respective location and corresponds to a different respective detected surface in an environment. Image data captured by the camera is obtained. It is determined that a region of interest for detecting objects for a vehicle planning process is outside a detectable region for the detection sensor. In response, it is determined that the image data for the region of interest matches surfel color data for the surfels corresponding to the region of interest. In response, the vehicle planning process is performed with the region of interest designated as having no unexpected objects.

    DETECTING ENVIRONMENT CHANGES USING SURFEL DATA

    公开(公告)号:US20220083073A1

    公开(公告)日:2022-03-17

    申请号:US17021828

    申请日:2020-09-15

    Applicant: Waymo LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing data characterizing a first region in an environment to generate a prediction characterizing a second region in the environment. One of the methods includes obtaining surfel data comprising a plurality of surfels; obtaining sensor data for a plurality of locations in a first region of the environment; determining, from the surfel data, a plurality of first surfels corresponding to respective locations in the first region of the environment; determining, using the first surfels and the sensor data, a difference between i) a first representation of the first region of the environment corresponding to the first surfels and ii) a second representation of the first region of the environment corresponding to the sensor data; and generating a respective object prediction for one or more locations in a second region of the environment.

    Verifying map data using challenge questions

    公开(公告)号:US11821751B2

    公开(公告)日:2023-11-21

    申请号:US17509131

    申请日:2021-10-25

    Applicant: Waymo LLC

    CPC classification number: G01C21/3856 G06F16/29 G06F16/58 G06V20/584

    Abstract: Aspects of the disclosure relate to validating map data using challenge questions. For instance, an attributes to be validated may be identified from the map data. At least one challenge question may be selected from a plurality of predetermined challenge questions based on the attribute. An image may be retrieved based on image information associated with the at least one challenge question. The image and the at least one challenge question may be provided for display. In response to the providing, operator input identifying an answer to the at least one challenge question may be received. This answer may be then used to validate the attribute.

    Service area maps for autonomous vehicles

    公开(公告)号:US11615355B2

    公开(公告)日:2023-03-28

    申请号:US16697618

    申请日:2019-11-27

    Applicant: Waymo LLC

    Abstract: Aspects of the technology relate to providing service area maps for an autonomous vehicle transportation service having a fleet of vehicles. For instance, each vehicle of the fleet is associated with a polygon corresponding to a service area for that vehicle. A first location may be received from a client computing device, and a set of vehicles of the fleet of vehicles that are currently available to provide transportation services may be identified based on the first location. The polygons associated with each of the set of vehicles may be used to determine a first polygon having a geographic area. A first portion of map information corresponding to the geographic area of the first polygon may be identified, and the first portion may be provided to the client computing device for display to a user such that the portion represents a currently available service area for the user.

    Verifying map data using challenge questions

    公开(公告)号:US11181384B2

    公开(公告)日:2021-11-23

    申请号:US16042184

    申请日:2018-07-23

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure relate to validating map data using challenge questions. For instance, an attributes to be validated may be identified from the map data. At least one challenge question may be selected from a plurality of predetermined challenge questions based on the attribute. An image may be retrieved based on image information associated with the at least one challenge question. The image and the at least one challenge question may be provided for display. In response to the providing, operator input identifying an answer to the at least one challenge question may be received. This answer may be then used to validate the attribute.

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