APPARATUS FOR CHECKING BATTERY POSITION AND OPERATING METHOD THEREOF

    公开(公告)号:US20230045732A1

    公开(公告)日:2023-02-09

    申请号:US17564890

    申请日:2021-12-29

    Abstract: This application relates to a battery test apparatus and an operating method thereof to check whether the direction of battery cells provided inside a battery tray is correct by implementing a computer vision AI algorithm. In one aspect, the method includes performing a first test for checking whether a battery tray has been correctly aligned with the battery test apparatus. The method may also include capturing a battery tray image including a plurality of battery cells using a camera upon alignment of the battery tray. The method may further include obtaining related information on battery cells from the battery tray image, and loading the related information on the battery cells. The method may further include performing a second test for checking whether directions of the battery cells are correct.

    DEEP LEARNING-BASED VEHICLE TRAJECTORY PREDICTION DEVICE AND METHOD THEREFOR

    公开(公告)号:US20230012531A1

    公开(公告)日:2023-01-19

    申请号:US17742535

    申请日:2022-05-12

    Abstract: A vehicle trajectory prediction device is provided. The vehicle trajectory prediction device includes a transceiver, at least one processor, and at least one memory operatively connected with the at least one processor to store at least one instruction causing the at least one processor to perform operations. The operations receive first trajectory data for an ego-vehicle and second trajectory data for at least one neighbor-vehicle, obtain a first feature vector from a first extractor and obtain a second feature vector from a second extractor, obtain an interdependency feature vector between the ego-vehicle and the at least one neighbor-vehicle from a third extractor having mapping data generated by mapping the second feature vector to the second trajectory data as input data, and generate predicted trajectory data of the ego-vehicle from a trajectory generator having the first feature vector and the interdependency feature vector as input data.

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