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公开(公告)号:US20190184981A1
公开(公告)日:2019-06-20
申请号:US16172350
申请日:2018-10-26
Applicant: LG Electronics Inc.
Inventor: Soonhong JUNG , Moonjung KIM , Aram KIM , Hyongguk KIM , Hyeongjin IM
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
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公开(公告)号:US20210331324A1
公开(公告)日:2021-10-28
申请号:US16499024
申请日:2019-02-22
Applicant: LG ELECTRONICS INC.
Inventor: Kichu HONG , Miyoung SEO , Hongkyu PARK , Aram KIM , Yeonkyung KIM
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.
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公开(公告)号:US20220094886A1
公开(公告)日:2022-03-24
申请号:US17424400
申请日:2020-01-21
Applicant: LG ELECTRONICS INC.
Inventor: Jiwon LEE , Dongkyu LEE , Aram KIM , Heungsoon YOON , Jaehyun AN , Jinkyoo LEE
IPC: H04N9/04
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.
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公开(公告)号:US20210150660A1
公开(公告)日:2021-05-20
申请号:US16828636
申请日:2020-03-24
Applicant: LG ELECTRONICS INC.
Inventor: Jaehyun AN , Jiwon LEE , Dongkyu LEE , Aram KIM , Jingyeong KIM
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.
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公开(公告)号:US20210103778A1
公开(公告)日:2021-04-08
申请号:US16831701
申请日:2020-03-26
Applicant: LG ELECTRONICS INC.
Inventor: Jiwon LEE , Aram KIM , Jinkyoo LEE
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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