VEHICLE CONTROL DEVICE MOUNTED ON VEHICLE AND METHOD FOR CONTROLLING THE VEHICLE

    公开(公告)号:US20190184981A1

    公开(公告)日:2019-06-20

    申请号:US16172350

    申请日:2018-10-26

    Abstract: A method for assisted parking of a vehicle performed by a parking control device. The method includes: determining a current position of a vehicle based on at least one of GPS information or environment information of the vehicle; generating traveling map information during manual driving of the vehicle, the traveling map information including a traveling path of the vehicle from the current position of the vehicle, based on at least one user input received through a vehicle manipulation device and at least one sensor value acquired through at least one sensor; and transmitting, based on receiving a rollback request signal, a rollback control signal that causes the vehicle to autonomously drive in a reverse direction along at least part of the traveling path from a rollback starting position of the vehicle

    ROBOT
    2.
    发明申请
    ROBOT 有权

    公开(公告)号:US20210331324A1

    公开(公告)日:2021-10-28

    申请号:US16499024

    申请日:2019-02-22

    Abstract: Provided a robot for assisting hearing of a user, while minimizing an influence on the surroundings. The robot includes a speaker, a microphone configured to recognize a voice, a processor configured to acquire a position of a user's face when a hearing aid command is acquired on the basis of the voice recognized through the microphone, and a driving unit configured to cause the speaker to be moved toward the position of the user's face, wherein the processor acquires a sound which is a target of hearing aid, generates an assistant sound by amplifying a predetermined frequency band of the sound or converting the predetermined frequency band of the sound into a different frequency band, and outputs the assistant sound through the speaker.

    CAMERA DEVICE, AND ELECTRONIC APPARATUS INCLUDING THE SAME

    公开(公告)号:US20220094886A1

    公开(公告)日:2022-03-24

    申请号:US17424400

    申请日:2020-01-21

    Abstract: The present disclosure relates to a camera device, and an electronic apparatus including the same. The camera device and an electronic apparatus including the same according to an embodiment of the present disclosure includes a lens device, an image sensor configured to convert light passing through the lens device into an electrical signal to generate an RGBN pattern image, and a processor configured to output a multi-spectrum-based IR image and an RGB-based color image based on the RGBN pattern image from the image sensor. Accordingly, it is possible to obtain the color image and the IR image robust to illuminance.

    METHOD AND DEVICE FOR IMAGE PROCESSING

    公开(公告)号:US20210150660A1

    公开(公告)日:2021-05-20

    申请号:US16828636

    申请日:2020-03-24

    Abstract: Disclosed is a method and device for image processing. The image processing device may include a processor and a controller. The processor may include an artificial intelligence (AI) image processing model trained in image processing through learning, and an arithmetic logic unit (ALU) configured to perform a computation involved in image processing using the AI image processing model. According to the present disclosure, image processing using a deep neural network (DNN) is possible in an edge device.

    APPARATUS AND METHOD FOR RECOGNIZING A FACE BASED ON ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20210103778A1

    公开(公告)日:2021-04-08

    申请号:US16831701

    申请日:2020-03-26

    Abstract: The present disclosure relates to face recognition apparatus and method capable of increasing a rate of face recognition using artificial intelligence by changing a captured image or video in contrast value in a dynamic manner. An operational method of a face recognition electronic apparatus using an artificial neural network may include: receiving from an ISP an image processed based on a set contrast parameter; detecting a facial image from the image; determining match probability values between the detected facial image with a plurality of facial images; determining whether or not a subject matching with the detected facial image is present on the basis of the match probability values; and if not, changing the contrast parameter. Accordingly, the face recognition performance can be improved by correcting an image in contrast that provides the best face recognition capability for each image when identifying a subject of a facial image by using artificial intelligence.

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