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    Object detection in vehicles using cross-modality sensors
    12.
    发明授权
    Object detection in vehicles using cross-modality sensors 有权

    公开(公告)号：US11593597B2

    公开(公告)日：2023-02-28

    申请号：US17098707

    申请日：2020-11-16

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Yasen Hu ,  Shuqing Zeng

    IPC: G06K9/62 ,  G01S17/89 ,  G01S17/931 ,  G06V20/56 ,  G06V20/64 ,  G06V30/24 ,  G05D1/02

    Abstract: A system includes first and second sensors and a controller. The first sensor is of a first type and is configured to sense objects around a vehicle and to capture first data about the objects in a frame. The second sensor is of a second type and is configured to sense the objects around the vehicle and to capture second data about the objects in the frame. The controller is configured to down-sample the first and second data to generate down-sampled first and second data having a lower resolution than the first and second data. The controller is configured to identify a first set of the objects by processing the down-sampled first and second data having the lower resolution. The controller is configured to identify a second set of the objects by selectively processing the first and second data from the frame.

    Resolution of doppler ambiguity in a radar system through tracking
    14.
    发明授权
    Resolution of doppler ambiguity in a radar system through tracking 有权

    公开(公告)号：US11119187B2

    公开(公告)日：2021-09-14

    申请号：US16279286

    申请日：2019-02-19

    Applicant: GM Global Technology Operations LLC

    Inventor： Shuqing Zeng ,  Igal Bilik ,  Yasen Hu

    IPC: G01S13/58 ,  G01S7/35

    Abstract: A system and method to resolve ambiguity in a radar system involve detecting one or more objects with the radar system. The detecting includes obtaining range, azimuth, and an ambiguous range rate of a first object of the one or more objects. A plurality of Kalman filters are generated with state variables that include parameters based on the range, the azimuth, and the ambiguous range rate. Each of the plurality of Kalman filters provides a different estimate for an unambiguous range rate. The method also includes updating the plurality of Kalman filters using additional detections by the radar system, selecting a selected Kalman filter from among the plurality of Kalman filters that exhibits a highest probability mass among a plurality of probability mass corresponding with and derived from the plurality of Kalman filters, and determining the unambiguous range rate of the object using the selected Kalman filter.

    AUTOMATED DATA COLLECTION FOR CONTINUED REFINEMENT IN THE DETECTION OF OBJECTS-OF-INTEREST
    17.
    发明申请
    AUTOMATED DATA COLLECTION FOR CONTINUED REFINEMENT IN THE DETECTION OF OBJECTS-OF-INTEREST 审中-公开

    公开(公告)号：US20200234061A1

    公开(公告)日：2020-07-23

    申请号：US16255056

    申请日：2019-01-23

    Applicant: GM Global Technology Operations LLC

    Inventor： Syed B. Mehdi ,  Yasen Hu ,  Upali P. Mudalige

    IPC: G06K9/00 ,  G06K9/20 ,  G06K9/62 ,  G06T7/50 ,  B60W50/00

    Abstract: A method of updating an identification algorithm of a vehicle includes sensing an image and drawing boundary boxes in the image. The algorithm attempts to identify an object-of-interest within each respective boundary box. The algorithm also attempts to identify a component of the object-of-interest within each respective boundary box, and if component is identified, calculates an excluded amount of a component boundary that is outside an object boundary. When the excluded amount is greater than a coverage threshold, the algorithm communicates the image to a processing center, which may identify a previously un-identified the object-of-interest in the image. The processing center may add the image to a training set of images to define a revised training set of images, and retrain the identification algorithm using the revised training set of images. The updated identification algorithm may then be uploaded onto the vehicle.

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