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    Method and System for Creating Training Data
    15.
    发明申请
    Method and System for Creating Training Data 有权

    公开(公告)号：US20230053584A1

    公开(公告)日：2023-02-23

    申请号：US17821113

    申请日：2022-08-19

    Applicant: Aptiv Technologies Limited

    Inventor： David Schiebener ,  Alexander Barth

    IPC: G06V10/774 ,  G06V10/20 ,  G06V40/20 ,  G06V20/59 ,  G06V10/44

    Abstract: Disclosed are aspects of a vehicle that can be fitted with a visual seat belt sensor that detects whether a seat belt is worn when a seat is occupied. Such seat-belt detection systems can be implemented by using artificial neural networks or machine learning algorithms, which require a large amount of training data. A method for preparing training data includes providing an image containing a path object, such as a seat belt. Starting at a first end of the path object, a segmented line object is established, with the segmented line object including a plurality of data points and a plurality of line segments. Data points and labels, which can be respectively associated with the line segments, may be created in response to one or more user interactions at least substantially simultaneously to save time. A computer system, for instance, can implement the method.

    Methods and System for Occupancy Class Prediction and Occlusion Value Determination
    16.
    发明申请
    Methods and System for Occupancy Class Prediction and Occlusion Value Determination 有权

    公开(公告)号：US20230034624A1

    公开(公告)日：2023-02-02

    申请号：US17816068

    申请日：2022-07-29

    Applicant: Aptiv Technologies Limited

    Inventor： Monika Heift ,  Klaus Friedrichs ,  Xuebing Zhang ,  Markus Bühren ,  Alexander Barth

    IPC: G06V40/10 ,  G06V20/00 ,  G06V10/26

    Abstract: The present disclosure describes a method for occupancy class prediction, such as for occupancy class detection in a vehicle. In aspects, the method includes determining, for a plurality of points of time, measurement data related to an area and determining, for a plurality of points of time, occlusion values based on the measurement data. The method further includes selecting, for a present point of time, one of a plurality of modes for occupancy class prediction based on the occlusion values for at least one of the present point of time and a previous point of time and/or based on one of the plurality of modes for occupancy class prediction selected for the previous point of time. The method additionally includes determining, for the present point of time, one of a plurality of predetermined occupancy classes of the area based on the selected mode for the present point of time.

    System and method for generating a confidence value for at least one state in the interior of a vehicle
    19.
    发明授权
    System and method for generating a confidence value for at least one state in the interior of a vehicle 有权

    公开(公告)号：US11010626B2

    公开(公告)日：2021-05-18

    申请号：US16196193

    申请日：2018-11-20

    Applicant: Aptiv Technologies Limited

    Inventor： Alexander Barth ,  Patrick Weyers

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  G06N3/08

    Abstract: A system for generating a confidence value for at least one state in the interior of a vehicle, comprising an imaging unit configured to capture at least one image of the interior of the vehicle, and a processing unit comprising a convolutional neural network, wherein the processing unit is configured to receive the at least one image from the imaging unit and to input the at least one image into the convolution-al neural network, wherein the convolutional neural network is configured to generate a respective likelihood value for each of a plurality of states in the interior of the vehicle with the likelihood value for a respective state indicating the likelihood that the respective state is present in the interior of the vehicle, and wherein the processing unit is further configured to generate a confidence value for at least one of the plurality of states in the interior of the vehicle from the likelihood values generated by the convolutional neural network.

    SYSTEM AND METHOD FOR GENERATING A CONFIDENCE VALUE FOR AT LEAST ONE STATE IN THE INTERIOR OF A VEHICLE
    20.
    发明申请
    SYSTEM AND METHOD FOR GENERATING A CONFIDENCE VALUE FOR AT LEAST ONE STATE IN THE INTERIOR OF A VEHICLE 审中-公开

    公开(公告)号：US20190171892A1

    公开(公告)日：2019-06-06

    申请号：US16196193

    申请日：2018-11-20

    Applicant: Aptiv Technologies Limited

    Inventor： Alexander Barth ,  Patrick Weyers

    IPC: G06K9/00 ,  G06N3/08 ,  G06K9/62

    Abstract: A system for generating a confidence value for at least one state in the interior of a vehicle, comprising an imaging unit configured to capture at least one image of the interior of the vehicle, and a processing unit comprising a convolutional neural network, wherein the processing unit is configured to receive the at least one image from the imaging unit and to input the at least one image into the convolution-al neural network, wherein the convolutional neural network is configured to generate a respective likelihood value for each of a plurality of states in the interior of the vehicle with the likelihood value for a respective state indicating the likelihood that the respective state is present in the interior of the vehicle, and wherein the processing unit is further configured to generate a confidence value for at least one of the plurality of states in the interior of the vehicle from the likelihood values generated by the convolutional neural network.

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