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    Driving assistant system, electronic device, and operation method thereof
    2.
    发明授权
    Driving assistant system, electronic device, and operation method thereof 有权

    公开(公告)号：US11443151B2

    公开(公告)日：2022-09-13

    申请号：US16874994

    申请日：2020-05-15

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Sangsoo Ko ,  Byeoungsu Kim ,  Sanghyuck Ha

    IPC: G06K9/62 ,  H04N13/128 ,  H04N13/239 ,  G06V20/58 ,  G06V20/64 ,  H04N13/00

    Abstract: Systems and method for automated driving assistance are described. A driving assistant system may include a first sensor unit configured to provide an input image including another vehicle and a background; an image processor configured to generate a plurality of pyramid images by down-sampling the input image, acquire a depthmap including depth values from the first sensor unit to the other vehicle and the background, generate a plurality of pieces of mask data with different average depths of the depth values based on the depthmap, and output a plurality of masked images representing different average distances from the first sensor unit based on the plurality of pieces of mask data and the plurality of pyramid images; a feature extractor configured to output feature data of each of the plurality of masked images; and a detector configured to detect the other vehicle included in the input image based on the feature data.

    SEMICONDUCTOR MEMORY DEVICE AND ELECTRONIC SYSTEM THE SAME
    3.
    发明申请
    SEMICONDUCTOR MEMORY DEVICE AND ELECTRONIC SYSTEM THE SAME 有权

    公开(公告)号：US20210019076A1

    公开(公告)日：2021-01-21

    申请号：US16790189

    申请日：2020-02-13

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Kyoungyoung Kim ,  Sangsoo Ko ,  Byeoungsu Kim ,  Jaegon Kim ,  Sanghyuck Ha

    IPC: G06F3/06 ,  G06N3/02

    Abstract: A semiconductor memory device is provided. The semiconductor memory device includes a memory core including a plurality of memory cells configured to store a plurality of data received from an external processor; and a statistical feature extractor disposed on a data path between the external processor and the memory core, the statistical feature extractor being configured to analyze statistical characteristics of the plurality of data, identify at least one statistical feature value associated with the statistical characteristics, store the at least one statistical feature value and transmit the at least one statistical feature value to the external processor.

    Advanced driver assist system and method of detecting object in the same
    4.
    发明授权
    Advanced driver assist system and method of detecting object in the same 有权

    公开(公告)号：US12190601B2

    公开(公告)日：2025-01-07

    申请号：US18443980

    申请日：2024-02-16

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sangsoo Ko ,  Byeoungsu Kim ,  Kyoungyoung Kim ,  Sanghyuck Ha

    IPC: G06V20/56 ,  B60W50/00 ,  G06F18/214 ,  G06F18/241 ,  G06V10/22 ,  G06V10/25 ,  G06V10/77 ,  G06V20/64 ,  H04N13/111

    Abstract: ADAS includes a processing circuit and a memory which stores instructions executable by the processing circuit. The processing circuit executes the instructions to cause the ADAS to receive, from a vehicle that is in motion, a video sequence, generate a position image including at least one object included in the stereo image, generate a second position information associated with the at least one object based on reflected signals received from the vehicle, determine regions each including at least a portion of the at least one object as candidate bounding boxes based on the stereo image and the position image, and selectively adjusting class scores of respective ones of the candidate bounding boxes associated with the at least one object based on whether a respective first position information of the respective ones of the candidate bounding boxes matches the second position information.

    Computing device for training artificial neural network model, method of training the artificial neural network model, and memory system for storing the same
    5.
    发明授权
    Computing device for training artificial neural network model, method of training the artificial neural network model, and memory system for storing the same 有权

    公开(公告)号：US11556795B2

    公开(公告)日：2023-01-17

    申请号：US16786627

    申请日：2020-02-10

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Byeoungsu Kim ,  Sangsoo Ko ,  Kyoungyoung Kim ,  Jaegon Kim ,  Sanghyuck Ha

    IPC: G06N3/08 ,  G06K9/62

    Abstract: A computing device for training an artificial neural network model includes: a model analyzer configured to receive a first artificial neural network model and split the first artificial neural network model into a plurality of layers; a training logic configured to calculate first sensitivity data varying as the first artificial neural network model is pruned, calculate a target sensitivity corresponding to a target pruning rate based on the first sensitivity data, calculate second sensitivity data varying as each of the plurality of layers is pruned, and output, based on the second sensitivity data, an optimal pruning rate of each of the plurality of layers, the optimal pruning rate corresponding to the target pruning rate; and a model updater configured to prune the first artificial neural network model based on the optimal pruning rate to obtain a second artificial neural network model, and output the second artificial neural network model.

    Method and apparatus for artificial neural network
    6.
    发明授权
    Method and apparatus for artificial neural network 有权

    公开(公告)号：US11436432B2

    公开(公告)日：2022-09-06

    申请号：US17021398

    申请日：2020-09-15

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sangmin Suh ,  Sangsoo Ko ,  Byeoungsu Kim ,  Sanghyuck Ha

    IPC: G06K9/62 ,  G06N3/04

    Abstract: An apparatus for an artificial neural network includes a format converter, a sampling unit, and a learning unit. The format converter generates a first format image and a second format image based on an input image. The sampling unit samples the first format image using a first sampling scheme to generate a first feature map, and samples the second format image using a second sampling scheme different from the first sampling scheme to generate a second feature map. The learning unit operates the artificial neural network using the first feature map and the second feature map.

    Electronic device for performing object detection and operation method thereof
    9.
    发明授权
    Electronic device for performing object detection and operation method thereof 有权

    公开(公告)号：US11539871B2

    公开(公告)日：2022-12-27

    申请号：US17169648

    申请日：2021-02-08

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Sangsoo Ko ,  Kyoungyoung Kim ,  Byeoungsu Kim ,  Sanghyuck Ha

    IPC: H04N5/232 ,  H04N5/445 ,  H04N5/225 ,  B60R1/00

    Abstract: An electronic device includes: a first image sensor that outputs a first image produced by photographing a first viewing angle; a second image sensor that outputs a second image produced by photographing a second viewing angle that overlaps a portion of the first viewing angle; a third image sensor that outputs a third image produced by photographing a third viewing angle; and a processor that performs object detection on an object included in an image. The processor generates disparity information indicating a separation degree of a feature point of the first and second images, transforms the third image based on the disparity information, and performs object detection on the transformed third image.

    Advanced driver assist systems and methods of detecting objects in the same
    10.
    发明授权
    Advanced driver assist systems and methods of detecting objects in the same 有权

    公开(公告)号：US11042999B2

    公开(公告)日：2021-06-22

    申请号：US16660284

    申请日：2019-10-22

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sangsoo Ko ,  Byeoungsu Kim ,  Jaegon Kim ,  Sanghyuck Ha

    IPC: G06K9/00 ,  G06T7/593 ,  H04N13/128 ,  G06T7/246 ,  G06K9/62 ,  B60R1/00 ,  G05D1/12 ,  G05D1/02

    Abstract: An advanced driver assist system (ADAS) may obtain a video sequence including a plurality of frames captured at the vehicle, each frame corresponding to a separate stereo image including a first viewpoint image and a second viewpoint image; generate disparity information associated with a stereo image; obtain depth information associated with an object included in the stereo image based on reflected electromagnetic waves captured at the vehicle; calculate correlation information between the depth information and the disparity information based on the stereo image, the depth information and the disparity information; and correct depth values associated with the stereo image based on the disparity information and the correlation information to generate a depth image with respect to the stereo image. The ADAS may detecting the at least one object in the stereo image, based on the depth image, and may generate an output signal based on the detection.

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