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公开(公告)号:US11657520B2
公开(公告)日:2023-05-23
申请号:US16771922
申请日:2019-01-03
Applicant: Samsung Electronics Co., Ltd.
Inventor: Daehyun Ban , Woojin Park , Seongwon Han
CPC classification number: G06T7/50 , G06F18/21 , G06F18/24 , G06N20/00 , G06T7/593 , G06V10/70 , G06V10/82 , G06V20/64 , G06T2207/10012 , G06T2207/10028 , G06T2207/20081
Abstract: Disclosed is an electronic device including a learning model having been learned according to an artificial intelligence algorithm. An electronic device according to the present disclosure may comprise: an input unit; and a processor which, when a two-dimensional image including at least one object is received through the input unit, acquires first depth information relating to at least one object by applying the two-dimensional image to a first learning model, acquires second depth information relating to the at least one object by applying the first depth information and actually measured depth data of the at least one object to a second learning model, and acquires three-dimensional information relating to the two-dimensional image on the basis of the second depth information, wherein the first depth information is implemented to include depth data according to a type of the at least one object.
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公开(公告)号:US11325590B2
公开(公告)日:2022-05-10
申请号:US16243370
申请日:2019-01-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seongwon Han , Woojin Park , Daehyun Ban
IPC: B60W30/09 , G05D1/00 , B60W10/20 , B60W30/095 , B60W10/04
Abstract: An autonomous driving device is provided. The autonomous driving device includes a driver comprising circuitry configured to drive the autonomous driving device, a sensor, a storage configured to store characteristic information for each type of obstacle, and a processor configured to control the driver based on a result of sensing of the sensor. The processor is configured to, based on an external object sensed by the sensor being recognized as an obstacle with a possibility of collision with the autonomous driving device, identify a type of the obstacle based on the characteristic information, and to control the driver to change at least one of a velocity and direction of the autonomous driving device based on the identified type of obstacle.
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公开(公告)号:US11047698B2
公开(公告)日:2021-06-29
申请号:US16285717
申请日:2019-02-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seongwon Han , Daehyun Ban , Woojin Park , Seowoo Jang
Abstract: A method for controlling an autonomous driving apparatus of a vehicle includes receiving a destination for setting a route, obtaining driving history of a user and traffic information, determining a driving route to the destination based on information on the destination, information on the driving history, and the traffic information provided to a model trained through an artificial intelligence algorithm as input data, and performing autonomous driving along the determined driving route.
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公开(公告)号:US11650597B2
公开(公告)日:2023-05-16
申请号:US16922655
申请日:2020-07-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Daehyun Ban , Yongsung Kim , Chanju Park , Chanwon Seo , Hongpyo Lee
CPC classification number: G05D1/0246 , G05D1/0088 , G06T3/0093 , G06T7/74 , G06V20/10 , G05D2201/0203 , G06T2207/20081
Abstract: An electronic apparatus is provided. The electronic apparatus includes: a sensor; a camera; a memory; and a processor configured to be connected to the sensor, the camera, and the memory. The memory includes an artificial intelligence model trained to identify at least one object. The processor is further configured to: detect an object based on sensing data received from the sensor; based on the detected object being identified as having a height less than a predetermined threshold value, warp an object region, including the detected object, in an image acquired through the camera based on distance information of the object region; and identify the detected object by inputting the warped object region into the artificial intelligence model.
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公开(公告)号:US11514650B2
公开(公告)日:2022-11-29
申请号:US17080296
申请日:2020-10-26
Applicant: Samsung Electronics Co., Ltd.
Inventor: Yongsung Kim , Daehyun Ban , Dongwan Lee , Hongpyo Lee , Lei Zhang
Abstract: An electronic apparatus is provided. The electronic apparatus includes a display, a camera configured to capture a rear of the electronic apparatus facing a front of the electronic apparatus in which the display displays an image, and a processor configured to render a virtual object based on the image captured by the camera, based on a user body being detected from the captured image, estimate a plurality of joint coordinates with respect to the detected user body using a pre-trained learning model, generate an augmented reality image using the estimated plurality of joint coordinates, the rendered virtual object, and the captured image, and control the display to display the generated augmented reality image, wherein the processor is configured to identify whether the user body touches the virtual object based on the plurality of estimated joint coordinates, and change a transmittance of the virtual object based on the touch being identified.
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公开(公告)号:US11262757B2
公开(公告)日:2022-03-01
申请号:US16241083
申请日:2019-01-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Seowoo Jang , Unkyu Park , Daehyun Ban , Seongwon Han
Abstract: Disclosed are an autonomous driving apparatus for performing autonomous driving of a vehicle and a controlling method thereof. An autonomous driving apparatus according to an example aspect of the present disclosure includes a sensor configured to acquire sensing information to determine a driving state of the vehicle; a storage configured to store a plurality of autonomous driving models; and at least one processor configured to perform autonomous driving of the vehicle using one of the plurality of autonomous driving models stored in the storage based on sensing information sensed by the sensor. Accordingly, the autonomous driving apparatus is capable of performing autonomous driving of a vehicle by rapidly changing a driving mode to an autonomous driving mode suitable for an event occurring during autonomous driving of the vehicle.
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