Methods and systems for filtering vehicle self-reflections in radar

    公开(公告)号:US12158519B2

    公开(公告)日:2024-12-03

    申请号:US18456097

    申请日:2023-08-25

    Applicant: Waymo LLC

    Abstract: Example embodiments relate to self-reflection filtering techniques within radar data. A computing device may use radar data to determine a first radar representation that conveys information about surfaces in a vehicle's environment. The computing device may use a predefined model to generate a second radar representation that assigns predicted self-reflection values to respective locations of the environment based on the information about the surfaces conveyed by the first radar representation. The predefined model can enable a predefined self-reflection value to be assigned to a first location based on information about a surface positioned at a second location and a relationship between the first location and the second location. The computing device may then modify the first radar representation based on the predicted self-reflection values in the second radar representation and provide instructions to a control system of the vehicle based on modifying the first radar representation.

    Model for excluding vehicle from sensor field of view

    公开(公告)号:US12140962B2

    公开(公告)日:2024-11-12

    申请号:US18200243

    申请日:2023-05-22

    Applicant: Waymo LLC

    Abstract: The technology relates to developing a highly accurate understanding of a vehicle's sensor fields of view in relation to the vehicle itself. A training phase is employed to gather sensor data in various situations and scenarios, and a modeling phase takes such information and identifies self-returns and other signals that should either be excluded from analysis during real-time driving or accounted for to avoid false positives. The result is a sensor field of view model for a particular vehicle, which can be extended to other similar makes and models of that vehicle. This approach enables a vehicle to determine when sensor data is of the vehicle or something else. As a result, the detailed modeling allowing the on-board computing system to make driving decisions and take other actions based on accurate sensor information.

    Methods and systems for detecting sensor occlusions

    公开(公告)号:US12130389B2

    公开(公告)日:2024-10-29

    申请号:US17198020

    申请日:2021-03-10

    Applicant: Waymo LLC

    CPC classification number: G01S7/497 G01S7/4813 G02B27/0006 G01S2007/4977

    Abstract: One example method involves rotating a housing of a light detection and ranging (LIDAR) device about a first axis. The housing includes a first optical window and a second optical window. The method also involves transmitting a first plurality of light pulses through the first optical window to obtain a first scan of a field-of-view (FOV) of the LIDAR device. The method also involves transmitting a second plurality of light pulses through the second optical window to obtain a second scan of the FOV. The method also involves identifying, based on the first scan and the second scan, a portion of the FOV that is at least partially occluded by an occlusion.

    POINT CLOUD SEGMENTATION USING A COHERENT LIDAR FOR AUTONOMOUS VEHICLE APPLICATIONS

    公开(公告)号:US20220137227A1

    公开(公告)日:2022-05-05

    申请号:US17087464

    申请日:2020-11-02

    Applicant: Waymo LLC

    Abstract: Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling Doppler-assisted segmentation of points in a point cloud for efficient object identification and tracking in autonomous vehicle (AV) applications, by: obtaining, by a sensing system of the AV, a plurality of return points comprising one or more velocity values and one or more coordinates of a reflecting region that reflects a signal emitted by the sensing system, the one or more velocity values and the one or more coordinates obtained for the same instance of time, identifying that the set of the return points is associated with an object in an environment, and causing a driving path of the AV to be determined in view of the object.

    Classification of objects based on motion patterns for autonomous vehicle applications

    公开(公告)号:US12233905B2

    公开(公告)日:2025-02-25

    申请号:US17087470

    申请日:2020-11-02

    Applicant: Waymo LLC

    Abstract: Aspects and implementations of the present disclosure address shortcomings of the existing technology by enabling motion pattern-assisted object classification of objects in an environment of an autonomous vehicle (AV) by obtaining, from a sensing system of the AV, a plurality of return points, each return point comprising one or more velocity values and one or more coordinates of a reflecting region that reflects a signal emitted by the sensing system, identifying an association of the plurality of return points with an object in an environment of the AV, identifying, in view of the one or more velocity values of at least some of the plurality of return points, a type of the object or a type of a motion of the object, and causing a driving path of the AV to be determined in view of the identified type of the object.

    Methods and Systems for Detecting Sensor Occlusions

    公开(公告)号:US20240402319A1

    公开(公告)日:2024-12-05

    申请号:US18799025

    申请日:2024-08-09

    Applicant: Waymo LLC

    Abstract: One example method involves rotating a housing of a light detection and ranging (LIDAR) device about a first axis. The housing includes a first optical window and a second optical window. The method also involves transmitting a first plurality of light pulses through the first optical window to obtain a first scan of a field-of-view (FOV) of the LIDAR device. The method also involves transmitting a second plurality of light pulses through the second optical window to obtain a second scan of the FOV. The method also involves identifying, based on the first scan and the second scan, a portion of the FOV that is at least partially occluded by an occlusion.

    Synchronization of multiple rotating sensors of a vehicle

    公开(公告)号:US11656358B2

    公开(公告)日:2023-05-23

    申请号:US16671858

    申请日:2019-11-01

    Applicant: Waymo LLC

    CPC classification number: G01S17/89 G01S7/4817 G01S17/10

    Abstract: One example system includes a first light detection and ranging (LIDAR) device that scans a first field-of-view defined by a first range of pointing directions associated with the first LIDAR device. The system also includes a second LIDAR device that scans a second FOV defined by a second range of pointing directions associated with the second LIDAR device. The second FOV at least partially overlaps the first FOV. The system also includes a first controller that adjusts a first pointing direction of the first LIDAR device. The system also includes a second controller that adjusts a second pointing direction of the second LIDAR device synchronously with the adjustment of the first pointing direction of the first LIDAR device.

    AUTOMATIC LABELING OF OBJECTS IN SENSOR DATA

    公开(公告)号:US20230019893A1

    公开(公告)日:2023-01-19

    申请号:US17947563

    申请日:2022-09-19

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure provide for automatically generating labels for sensor data. For instance first sensor data for a first vehicle is identified. The first sensor data is defined in both a global coordinate system and a local coordinate system for the first vehicle. A second vehicle is identified based on a second location of the second vehicle within a threshold distance of the first vehicle within the first timeframe. The second vehicle is associated with second sensor data that is further associated with a label identifying a location of an object, and the location of the object is defined in a local coordinate system of the second vehicle. A conversion from the local coordinate system of the second vehicle to the local coordinate system of the first vehicle may be determined and used to transfer the label from the second sensor data to the first sensor data.

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