SENSOR CALIBRATION
    2.
    发明申请
    SENSOR CALIBRATION 审中-公开

    公开(公告)号:US20190293756A1

    公开(公告)日:2019-09-26

    申请号:US15927291

    申请日:2018-03-21

    Applicant: Zoox, Inc.

    Abstract: This disclosure is directed to calibrating sensors for an autonomous vehicle. First sensor data and second sensor data can be captured by one or more sensors representing an environment. The first sensor data and the second sensor data can be associated with a grid in a plurality of combinations to generate a plurality of projected data. A number of data points of the projected data occupying a cell of the grid can be summed to determine a spatial histogram. An amount of error (such as an entropy value) can be determined for each of the projected data, and the projected data corresponding to the lowest entropy value can be selected as representing a calibrated configuration of the one or more sensors. Calibration data associated with the lowest entropy value can be determined and used to calibrate the one or more sensors, respectively.

    RADAR-BASED GROUND PLANE CHARACTERISTIC DETERMINATION

    公开(公告)号:US20230384419A1

    公开(公告)日:2023-11-30

    申请号:US17829058

    申请日:2022-05-31

    Applicant: Zoox, Inc.

    CPC classification number: G01S7/412 G01S13/931 G01S2013/93271 B60W40/06

    Abstract: Techniques for estimating a ground plane based on lidar data and/or attributes of the ground plane are discussed herein. A vehicle captures radar data, e.g., 4D radar data including height information, as it traverses an environment. The radar data can include direct returns from an object and reflected or multipath returns, e.g., that reflect off a ground surface and the object. A position of the ground plane can be estimated based at least in part on a distance between direct returns and the reflected returns. Attributes of the ground plane may be determined from differences between the direct returns and the reflected returns.

    Modifying map elements associated with map data

    公开(公告)号:US10782136B2

    公开(公告)日:2020-09-22

    申请号:US16145740

    申请日:2018-09-28

    Applicant: Zoox, Inc.

    Abstract: Techniques are discussed for modifying map elements associated with map data. Map data can include three-dimensional data (e.g., LIDAR data) representing an environment, while map elements can be associated with the map data to identify locations and semantic information associated with an environment, such as regions that correspond to driving lanes or crosswalks. A trajectory associated with the map data can be updated, such as when aligning one or more trajectories in response to a loop closure, updated calibration, etc. The transformation between a trajectory and an updated trajectory can be applied to map elements to warp the map elements so that they correspond to the updated map data, thereby providing automatic and accurate techniques for updating map elements associated with map data.

    Modifying Map Elements Associated with Map Data

    公开(公告)号:US20240110811A1

    公开(公告)日:2024-04-04

    申请号:US18368970

    申请日:2023-09-15

    Applicant: Zoox, Inc.

    Abstract: Techniques are discussed for modifying map elements associated with map data. Map data can include three-dimensional data (e.g., LIDAR data) representing an environment, while map elements can be associated with the map data to identify locations and semantic information associated with an environment, such as regions that correspond to driving lanes or crosswalks. A trajectory associated with the map data can be updated, such as when aligning one or more trajectories in response to a loop closure, updated calibration, etc. The transformation between a trajectory and an updated trajectory can be applied to map elements to warp the map elements so that they correspond to the updated map data, thereby providing automatic and accurate techniques for updating map elements associated with map data.

    Modifying map elements associated with map data

    公开(公告)号:US11761791B2

    公开(公告)日:2023-09-19

    申请号:US17027297

    申请日:2020-09-21

    Applicant: Zoox, Inc.

    Abstract: Techniques are discussed for modifying map elements associated with map data. Map data can include three-dimensional data (e.g., LIDAR data) representing an environment, while map elements can be associated with the map data to identify locations and semantic information associated with an environment, such as regions that correspond to driving lanes or crosswalks. A trajectory associated with the map data can be updated, such as when aligning one or more trajectories in response to a loop closure, updated calibration, etc. The transformation between a trajectory and an updated trajectory can be applied to map elements to warp the map elements so that they correspond to the updated map data, thereby providing automatic and accurate techniques for updating map elements associated with map data.

    MAPS COMPRISING COVARIANCES IN MULTI-RESOLUTION VOXELS

    公开(公告)号:US20210192840A1

    公开(公告)日:2021-06-24

    申请号:US16722598

    申请日:2019-12-20

    Applicant: Zoox, Inc.

    Abstract: Techniques for representing a scene or map based on statistical data of captured environmental data are discussed herein. In some cases, the data (such as covariance data, mean data, or the like) may be stored as a multi-resolution voxel space that includes a plurality of semantic layers. In some instances, individual semantic layers may include multiple voxel grids having differing resolutions. Multiple multi-resolution voxel spaces may be merged to generate combined scenes based on detected voxel covariances at one or more resolutions.

    Modifying Map Elements Associated with Map Data

    公开(公告)号:US20200103236A1

    公开(公告)日:2020-04-02

    申请号:US16145740

    申请日:2018-09-28

    Applicant: Zoox, Inc.

    Abstract: Techniques are discussed for modifying map elements associated with map data. Map data can include three-dimensional data (e.g., LIDAR data) representing an environment, while map elements can be associated with the map data to identify locations and semantic information associated with an environment, such as regions that correspond to driving lanes or crosswalks. A trajectory associated with the map data can be updated, such as when aligning one or more trajectories in response to a loop closure, updated calibration, etc. The transformation between a trajectory and an updated trajectory can be applied to map elements to warp the map elements so that they correspond to the updated map data, thereby providing automatic and accurate techniques for updating map elements associated with map data.

    Sensor calibration
    9.
    发明授权

    公开(公告)号:US11656329B2

    公开(公告)日:2023-05-23

    申请号:US17090668

    申请日:2020-11-05

    Applicant: Zoox, Inc.

    Abstract: This disclosure is directed to calibrating sensors for an autonomous vehicle. First sensor data and second sensor data can be captured by one or more sensors representing an environment. The first sensor data and the second sensor data can be associated with a grid in a plurality of combinations to generate a plurality of projected data. A number of data points of the projected data occupying a cell of the grid can be summed to determine a spatial histogram. An amount of error (such as an entropy value) can be determined for each of the projected data, and the projected data corresponding to the lowest entropy value can be selected as representing a calibrated configuration of the one or more sensors. Calibration data associated with the lowest entropy value can be determined and used to calibrate the one or more sensors, respectively.

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