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公开(公告)号：US20240013031A1
公开(公告)日：2024-01-11
申请号：US18349005
申请日：2023-07-07
Inventor： Han Jun PARK , Yong Jin KWON , An Seok LEE , Heesoo LEE , Yun Joo KIM , Hyun Seo PARK , Jung Bo SON , Yu Ro LEE
IPC: G06N3/0455
CPC classification number: G06N3/0455
Abstract: An operation method of a first communication node may comprise: determining a latent space correction operation including a transformation operation for correcting latent data output from a first encoder of a first artificial neural network corresponding to the first communication node, based on information of a reference data set provided from a second communication node; encoding first input data including first feedback information through the first encoder; correcting first latent data output from the first encoder based on the determined latent space correction operation; and transmitting a first feedback signal including the corrected first latent data to the second communication node, wherein the corrected first latent data is decoded into first output data corresponding to the first input data in a second decoder of a second artificial neural network corresponding to the second communication node.
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公开(公告)号：US11871287B2
公开(公告)日：2024-01-09
申请号：US17384703
申请日：2021-07-23
Inventor： Hyun Seo Park , Yun Joo Kim , Eunkyung Kim , Tae Joong Kim , An Seok Lee , Yu Ro Lee , Heesoo Lee
CPC classification number: H04W36/0058 , H04W36/08
Abstract: A handover method of a first terminal in a wireless communication system may comprise: transmitting a first measurement report message to a first cell that is a primary cell (PCell); receiving, from the first cell, one or more first configuration messages for one or more target cells determined according to the first measurement report message; adding each of the one or more target cells as a candidate PCell based on the one or more first configuration messages; and performing data transmission and reception with at least one cell among the first cell and the one or more candidate PCells.
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公开(公告)号：US11870550B2
公开(公告)日：2024-01-09
申请号：US17361575
申请日：2021-06-29
Inventor： Pansoo Kim , Soo Yeob Jung , Joon Gyu Ryu
IPC: H04J13/00 , H04L5/00 , H04B17/327 , H04L1/00 , H04L27/00 , H04W72/23 , H04B17/318
CPC classification number: H04J13/0051 , H04B17/318 , H04B17/327 , H04J13/0044 , H04L1/0063 , H04L1/0071 , H04L5/0048 , H04L27/0014 , H04W72/23 , H04L2027/0065
Abstract: An ultra-low power data transmission method and apparatus are disclosed. An ultra-low power data transmission method to be performed by a user terminal of an ultra-low power data transmission system includes performing channel coding on a payload included in a transmission packet; interleaving a payload obtained through the channel coding, spreading the interleaved payload using a gold code and an orthogonal variable spreading factor (OVSF), combining a synchronization header spread using the gold code and the OVSF with the spread payload, and modulating a transmission packet in which the payload and the synchronization header are combined.
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公开(公告)号：US11870468B2
公开(公告)日：2024-01-09
申请号：US18051802
申请日：2022-11-01
Inventor： Yu Ro Lee , Jae Woo Park , Jae Seung Lee , Jee Yon Choi , Il Gyu Kim , Seung Chan Bang
IPC: H04L1/06 , H04L5/00 , H04B7/0452 , H04W72/0453 , H04B7/06 , H04W84/12
CPC classification number: H04B7/0452 , H04B7/068 , H04B7/0697 , H04L5/0028 , H04L5/0064 , H04L5/0092 , H04W72/0453 , H04L5/0023 , H04W84/12
Abstract: A wireless communication method and apparatus in a wireless local area network (WLAN) system are disclosed. A wireless communication method according to one embodiment may include generating a high-efficiency Wi-Fi (HEW) frame including at least one of an HEW-SIG-A field and an HEW-SIG-B field which include channel information for communications according to an Orthogonal Frequency-Division Multiple Access (OFDMA) mode, and transmitting the generated HEW frame to a reception apparatus.
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公开(公告)号：US11869265B2
公开(公告)日：2024-01-09
申请号：US17191981
申请日：2021-03-04
Inventor： Sungwon Byon , Eun Jung Kwon , Hyunho Park , Won-Jae Shin , Dong Man Jang , Eui Suk Jung , Yong Tae Lee
Abstract: Provided are an object tracking system and an object tracking method. The object tracking system includes: a terminal identifier and reference time providing module configured to receive an identifier of a terminal and a reference time for tracking an object corresponding to the identifier; a cross-CCTV detection module configured to detect a cross-CCTV for the terminal by using a CCTV installation information and a location of the terminal before the reference time; a basic image detection module configured to detect an object repeatedly appearing in the cross-CCTV as a basic image; a current-CCTV detection module configured to detect a current-CCTV currently recording the terminal by detecting a location and a moving direction of the terminal after the reference time; an object detection module configured to detect an object appearing in the current-CCTV based on the location and the moving direction of the terminal after the reference time; and an object tracking module configured to track an object corresponding to the identifier by determining whether the detected object from the current-CCTV and the basic image.
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Patent Agency Ranking
公开(公告)号：US11866067B2
公开(公告)日：2024-01-09
申请号：US17396269
申请日：2021-08-06
Inventor： Doo Seop Choi , Joo Young Kim , Kyoung Wook Min , Seung Jun Han , Jeong Dan Choi
IPC: B60W60/00 , B60W40/105 , B60W10/20 , G06N3/049 , G06N3/08
CPC classification number: B60W60/0011 , B60W10/20 , B60W40/105 , B60W60/0015 , G06N3/049 , G06N3/08 , B60W2520/14 , B60W2520/16 , B60W2520/18 , B60W2540/18 , B60W2556/50 , B60W2556/60
Abstract: Provided is a method of generating and controlling a driving path for an autonomous vehicle, the method including generating a driving path that matches a driving intention on the basis of sensing data acquired from a sensing module of the autonomous vehicle, determining steering angle information corresponding to the generated driving path, and controlling a steering angle of the autonomous vehicle.
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337.发明授权公开(公告)号：US11864232B2
公开(公告)日：2024-01-02
申请号：US17426490
申请日：2020-02-06
Inventor： Sung Hyun Moon , Cheul Soon Kim , Jung Hoon Lee
IPC: H04W74/08 , H04L27/26 , H04W72/044 , H04L41/0806
CPC classification number: H04W74/0816 , H04L27/2607 , H04L27/26025 , H04W72/044 , H04W74/0866 , H04L41/0806
Abstract: A method by which a terminal operating in an unlicensed band transmits a signal includes the steps of: receiving, from a base station, configuration information about a carrier; receiving configuration information for configuring N (where N is an integer) guard band(s) for some frequency domains of the carrier; and transmitting a signal to the base station by using a first frequency domain of a bandwidth part belonging to the carrier, wherein the first frequency domain can be a domain excluding the N guard band(s) from the frequency domain of the bandwidth part.
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338.发明授权公开(公告)号：US11862183B2
公开(公告)日：2024-01-02
申请号：US17368390
申请日：2021-07-06
Inventor： Jongmo Sung , Seung Kwon Beack , Mi Suk Lee , Tae Jin Lee , Woo-taek Lim , Inseon Jang
IPC: G10L19/032
CPC classification number: G10L19/032
Abstract: An audio signal encoding and decoding method using a neural network model, a method of training the neural network model, and an encoder and decoder performing the methods are disclosed. The encoding method includes computing the first feature information of an input signal using a recurrent encoding model, computing an output signal from the first feature information using a recurrent decoding model, calculating a residual signal by subtracting the output signal from the input signal, computing the second feature information of the residual signal using a nonrecurrent encoding model, and converting the first feature information and the second feature information to a bitstream.
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339.发明公开公开(公告)号：US20230421757A1
公开(公告)日：2023-12-28
申请号：US18241393
申请日：2023-09-01
Inventor： Dong San JUN , Jin Ho LEE , Jung Won KANG , Hyun Suk KO , Sung Chang LIM , Ha Hyun LEE , Seung Hyun CHO , Hui Yong KIM , Jin Soo CHOI
IPC: H04N19/11 , H04N19/176 , H04N19/593
CPC classification number: H04N19/11 , H04N19/593 , H04N19/176
Abstract: An image encoding/decoding method and apparatus are provided. An image decoding method of the present invention comprises decoding first information indicating whether a maximum of N intra prediction modes are used or a maximum of M intra prediction modes are used for an intra prediction for a current block, in which the M is smaller than the N, deriving an intra prediction mode of the current block, inverse-mapping the derived intra prediction mode on a corresponding intra prediction mode among the maximum N intra prediction modes when the decoded first information indicates that the maximum M intra prediction modes are used for the intra prediction for the current block, and generating an intra prediction block by performing an intra prediction for the current block, based on the inverse-mapped intra prediction mode.
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340.发明公开公开(公告)号：US20230419080A1
公开(公告)日：2023-12-28
申请号：US18301037
申请日：2023-04-14
Inventor： Dooseop CHOI , Kyoung-Wook MIN , Dong-Jin LEE , Yongwoo JO , Seung Jun HAN
IPC: G06N3/0455 , G06N3/0442 , G06N3/08 , B60W60/00
CPC classification number: G06N3/0455 , G06N3/0442 , G06N3/08 , B60W60/0027 , B60W2554/4041 , B60W2556/10 , B60W2554/402 , B60W2420/42 , B60W2552/53 , B60W2556/40
Abstract: The present disclosure relates to an apparatus and a method for predicting future trajectories of various types of objects using an artificial neural network trained by a method for training an artificial neural network to predict future trajectories of various types of moving objects for autonomous driving. The apparatus for predicting future trajectories includes a shared information generation module configured to: collect location information of one or more objects around an autonomous vehicle for a predetermined time, generate past movement trajectories for the one or more objects based on the location information, and generate a driving environment feature map for the autonomous vehicle based on road information around the autonomous vehicle and the past movement trajectories; and a future trajectory prediction module configured to generate future trajectories for the one or more objects based on the past movement trajectories and the driving environment feature map.
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