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公开(公告)号：US20250157230A1
公开(公告)日：2025-05-15
申请号：US18635249
申请日：2024-04-15
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dongwook LEE , Chanho EOM , Byung In YOO , Hyunjeong LEE
Abstract: A method for (3D) object detection includes: receiving an input image with respect to a 3D space, an input point cloud with respect to the 3D space, and an input language with respect to a target object in the 3D space; using an encoding model to generate candidate image features of partial areas of the input image, a point cloud feature of the input point cloud, and a linguistic feature of the input language; selecting a target image feature corresponding to the linguistic feature from among the candidate image features based on similarity scores of similarities between the candidate image features and the linguistic feature; generating a decoding output by executing a multi-modal decoding model based on the target image feature and the point cloud feature; and detecting a 3D bounding box corresponding to the target object by executing an object detection model based on the decoding output.
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公开(公告)号：US20250045149A1
公开(公告)日：2025-02-06
申请号：US18617082
申请日：2024-03-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jong Heon JEONG , Kangrak KWON , Youngkyu PARK , Hyunseok SEO , Kyungmin LEE , Dongwook LEE
IPC: G06F11/07
Abstract: An apparatus includes a port that is connected to a link including plural lanes to support communication between the apparatus and another device and that transmits a flit in a flit mode, and a processor that controls the link based on a link training and status state machine (LTSSM). The processor transitions from an L0 state to an L0p state, included in the LTSSM, for a portion of the plural lanes based on a receiver error occurring in the portion of the plural lanes and based on the link reaching a specific data rate using equalization bypass, and the port, after transitioning to the L0p state, transmits an ordered set (OS) through the portion of the plural lanes and transmits the flit through remaining lanes of the plural lanes.
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公开(公告)号：US20230325245A1
公开(公告)日：2023-10-12
申请号：US18333061
申请日：2023-06-12
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jiman KWON , Dongho KIM , Hakryoul KIM , Jaehyeon PARK , Geonhee BACK , Jiseop SONG , Dongwook LEE
CPC classification number: G06F9/5027 , G06F3/0608 , G06F3/0631 , G06F3/0673
Abstract: An electronic device is provided. The electronic device includes a memory and a processor. The processor may be configured to identify that an application using large-capacity memory satisfying a specified condition is running, identify a first memory capacity required to run the application, and terminate at least one process allocated to the memory until the first memory capacity is secured as the available capacity of the memory.
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公开(公告)号：US20230266905A1
公开(公告)日：2023-08-24
申请号：US18119134
申请日：2023-03-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Dongho KIM , Jiman KWON , Jaehyeon PARK , Geonhee BACK , Dongwook LEE , Daehyun CHO
IPC: G06F3/06
CPC classification number: G06F3/0644 , G06F3/0604 , G06F3/0673
Abstract: A method of controlling a memory and an electronic device performing the method are provided. The electronic device includes a memory configured to store instructions executable by the processor; and at least one processor configured to execute the instructions to: determine a use state of the electronic device corresponding to an available area of the memory, determine a temperature of the electronic device, determine a memory parameter based on the use state and the temperature, and convert a used area of the memory into the available area based on the memory parameter.
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公开(公告)号：US20220301188A1
公开(公告)日：2022-09-22
申请号：US17385455
申请日：2021-07-26
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Jonghoon YOON , Dongwook LEE , Changyong SON , Byung In YOO , Seohyung LEE
Abstract: A processor-implemented method of tracking a target object includes: extracting a feature from frames of an input image; selecting one a neural network model from among a plurality of neural network models that is provided in advance based on a feature value range, based on a feature value of a target object that is included in the feature of a previous frame among the frames; and generating a bounding box of the target object included in a current frame among the frames, based on the selected neural network model.
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Patent Agency Ranking
公开(公告)号：US20210201447A1
公开(公告)日：2021-07-01
申请号：US17019657
申请日：2020-09-14
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sangil JUNG , Dongwook LEE , Jinwoo SON , Changyong SON , Jaehyoung YOO , Seohyung LEE , Changin CHOI , Jaejoon HAN
Abstract: A system includes: an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter; and an output interface configured to output the quantized image.
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公开(公告)号：US20190184990A1
公开(公告)日：2019-06-20
申请号：US16046138
申请日：2018-07-26
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jaewoo LEE , Jahoo KOO , Dongwook LEE , Wonju LEE , Dae Hyun JI
IPC: B60W30/14
CPC classification number: B60W30/143 , B60W30/12 , B60W2420/42 , B60W2550/20 , B60W2550/302 , B60W2550/308 , B60W2550/402 , B60W2720/10 , G01C21/3476 , G06K9/00798
Abstract: Provided is a method and apparatus to control a longitudinal velocity of a target vehicle. The method and apparatus may determine a region of travel of the target vehicle based on a plurality of driving waypoints obtained from a map database, and control an adjusting of a longitudinal velocity of the target vehicle based on a distance of the target vehicle to a preceding object in the determined region of travel.
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公开(公告)号：US20190031906A1
公开(公告)日：2019-01-31
申请号：US15925034
申请日：2018-03-19
Applicant: Samsung Electronics Co., Ltd.
Inventor： Sangwon KIM , Minsu SEOL , Hyeonjin SHIN , Dongwook LEE , Yunseong LEE , Seongjun JEONG , Alum JUNG
IPC: C09D165/00 , C01B32/184 , G03F7/16 , G03F7/20 , G03F7/38 , G03F7/32 , H01L21/311 , H01L21/027
CPC classification number: C09D165/00 , B82Y30/00 , B82Y40/00 , C01B32/182 , C01B32/184 , C08G61/02 , C08G2261/3424 , G03F7/094 , G03F7/162 , G03F7/168 , G03F7/2004 , G03F7/322 , G03F7/38 , H01L21/0274 , H01L21/31138 , H01L21/31144 , Y10S977/734 , Y10S977/774 , Y10S977/842
Abstract: Provided are a method of preparing a graphene quantum dot, a graphene quantum dot prepared using the method, a hardmask composition including the graphene quantum dot, a method of forming a pattern using the hardmask composition, and a hardmask obtained from the hardmask composition. The method of preparing a graphene quantum dot includes reacting a graphene quantum dot composition and an including a polyaromatic hydrocarbon compound and an organic solvent at an atmospheric pressure and a temperature of about 250° C. The polyaromatic hydrocarbon compound may include at least four aromatic rings.
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公开(公告)号：US20180148053A1
公开(公告)日：2018-05-31
申请号：US15799119
申请日：2017-10-31
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jaewoo LEE , Dongwook LEE
IPC: B60W30/14 , B60W40/105 , G05D1/02 , G06K9/46 , G06K9/20 , G06K9/62 , G06K9/00 , G06T7/60 , G06T7/20
Abstract: A method to control a velocity of a vehicle includes: extracting an end point of a road region from an input image; measuring a visibility distance between an end point location corresponding to the end point and a location of a vehicle; and controlling the velocity of the vehicle based on the measured visibility distance.
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公开(公告)号：US20250157195A1
公开(公告)日：2025-05-15
申请号：US18897759
申请日：2024-09-26
Inventor： Sujin JANG , Sangpil KIM , Jinkyu KIM , Won Jeong RYOO , Dongwook LEE , Gyusam CHANG , Dae Hyun JI
IPC: G06V10/774 , G06V10/77
Abstract: A processor-implemented method including text-guided training using a pre-trained text-guided model and an image feature extractor based on one or more text inputs and one or more image inputs corresponding to the one or more text inputs, light detection and ranging (LiDAR)-guided training using a point cloud encoder and a bird's-eye view (BEV) encoder, and training an object detection model based on a result of the text-guided training and a result of the LiDAR-guided training, and the text-guided training includes outputting one or more text-image features that are used to train the object detection model by using the text-guided model and the image feature extractor.
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