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公开(公告)号：US20240110796A1
公开(公告)日：2024-04-04
申请号：US17594655
申请日：2021-06-02
IPC: G01C21/34
CPC classification number: G01C21/343
Abstract: A route recommendation method, an electronic device, and a storage medium are provided, which relate to the field of intelligent recommendation. The method includes: acquiring i-th scenic area information input for a target itinerary, wherein i is a positive integer; updating a scenic area list of the target itinerary based on the i-th scenic area information, and determining an estimated tour duration based on the scenic area list; and determining a recommended route of the target itinerary based on the scenic area list, in a case where a difference between a planned itinerary duration of the target itinerary and the estimated tour duration is less than a preset threshold.
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公开(公告)号：US11928434B2
公开(公告)日：2024-03-12
申请号：US17444693
申请日：2021-08-09
Inventor： Jiachen Liu , Xinyan Xiao , Hua Wu , Haifeng Wang
IPC: G06F40/56 , G06F40/295 , G06N5/022 , G06N20/00
CPC classification number: G06F40/295 , G06N5/022 , G06N20/00 , G06F40/56
Abstract: A method for text generation, relates to a field of natural language processing, including: obtaining corpus data; labeling the corpus data to obtain a first constraint element; obtaining a first generation target; and generating a first text matching the first generation target by inputting the corpus data and the first constraint element into a generation model.
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13.发明授权公开(公告)号：US11898936B2
公开(公告)日：2024-02-13
申请号：US17215628
申请日：2021-03-29
Inventor： Yiqun Fu , Qingyu Li , Shengzhao Tao
IPC: G01M17/04 , G01M17/007
CPC classification number: G01M17/04 , G01M17/007
Abstract: A method and apparatus for evaluating a body feeling of a vehicle, an electronic device and a storage medium are provided. The method includes: a pressure of a measured object acting on each measurement region of a target riding apparatus under a current weight is measured by at least one pressure sensing unit within a measurement time period; a pressure intensity generated by the pressure of the measured object acting on each measurement region is calculated according to the pressure on each measurement region measured by each pressure sensing unit and an individual size of each pressure sensing unit; an objective body feeling evaluation score of the measured object under the current weight is determined according to the measured pressure and the calculated pressure intensity; and a comprehensive body feeling evaluation score is calculated according to the objective body feeling evaluation score and a predetermined subjective body feeling evaluation score.
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公开(公告)号：US11887388B2
公开(公告)日：2024-01-30
申请号：US17346835
申请日：2021-06-14
Inventor： Xiaoqing Ye , Zhikang Zou , Xiao Tan , Hao Sun
CPC classification number: G06V20/647 , G06N3/08 , G06T7/75 , G06V10/82 , G06T2200/08 , G06T2207/20081 , G06T2207/30244 , G06T2210/04 , G06V10/462
Abstract: The present disclosure provides an object pose obtaining method, and an electronic device, relates to technology fields of image processing, computer vision, and deep learning. A detailed implementation is: extracting an image block of an object from an image, and generating a local coordinate system corresponding to the image block; obtaining 2D projection key points in an image coordinate system corresponding to a plurality of 3D key points on a 3D model of the object; converting the 2D projection key points into the local coordinate system to generate corresponding 2D prediction key points; obtaining direction vectors between each pixel point in the image block and each 2D prediction key point, and obtaining a 2D target key point corresponding to each 2D predication key point based on the direction vectors; and determining a pose of the object according to the 3D key points and the 2D target key points.
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公开(公告)号：US11878685B2
公开(公告)日：2024-01-23
申请号：US17371841
申请日：2021-07-09
Inventor： Lei Zhang , Kai Yang , Qijuan Yin , Wuzhao Zhang , Xiaoyan Wang
IPC: B60W30/14 , B60W60/00 , B60W10/18 , B60W30/09 , B60W30/095 , B60W40/105 , B60W50/00
CPC classification number: B60W30/143 , B60W10/18 , B60W30/09 , B60W30/0953 , B60W40/105 , B60W50/00 , B60W60/0015 , B60W2050/0054 , B60W2554/4041 , B60W2554/80
Abstract: A vehicle control method, a vehicle control apparatus, an electronic device and a self-driving vehicle all relates to the field of self-driving and intelligent transportation technologies. The method includes: when a vehicle is moving, in a case that an occluding object is detected, determining a hard brake speed limit point and a potential collision point according to a planned path of the vehicle and position information of the occluding object; calculating a speed limit value of the hard brake speed limit point based on a distance between the hard brake speed limit point and the potential collision point; in a case that a planned speed of the vehicle at the hard brake speed limit point is less than or equal to the speed limit value, controlling the vehicle to move at the planned speed.
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Patent Agency Ranking
公开(公告)号：US11867801B2
公开(公告)日：2024-01-09
申请号：US17354557
申请日：2021-06-22
Inventor： Xiaoqing Ye , Xiao Tan , Hao Sun
IPC: G06K9/62 , G06K9/00 , G06K9/68 , G01S13/931 , G06T7/521 , G01S13/42 , G01S13/86 , G06N3/08 , G06T7/60 , G06V20/52 , G06V30/24 , G06F18/214 , G06F18/25 , G06F18/21 , G06V10/25 , G06V10/80 , G06V10/44 , G06V10/98 , G06V20/54 , G06V20/64
CPC classification number: G01S13/931 , G01S13/42 , G01S13/867 , G06F18/214 , G06F18/217 , G06F18/25 , G06N3/08 , G06T7/521 , G06T7/60 , G06V10/25 , G06V10/454 , G06V10/80 , G06V10/98 , G06V20/52 , G06V20/54 , G06V20/64 , G06V30/248 , G06T2207/10028 , G06T2207/30236 , G06V30/2552 , G06V2201/00 , G06V2201/08
Abstract: A vehicle information detection method, a method for training a detection model, an electronic device and a storage medium are provided, and relates to the technical field of artificial intelligence, in particular to the technical field of computer vision and deep learning. The method includes: performing a first target detection operation based on an image of a target vehicle, to obtain a first detection result for target information of the target vehicle; performing an error detection operation based on the first detection result, to obtain error information; and performing a second target detection operation based on the first detection result and the error information, to obtain a second detection result for the target information.
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公开(公告)号：US11856277B2
公开(公告)日：2023-12-26
申请号：US17347290
申请日：2021-06-14
Inventor： Xiangming Zhao , Fei Li , Ting Yun , Guoqing Chen , Saiqun Lin , Lin Wang
IPC: H04N21/8549 , G06V20/40 , G06V40/20 , G06V40/16 , G06V20/00
CPC classification number: H04N21/8549 , G06V20/00 , G06V20/41 , G06V40/172 , G06V40/20
Abstract: A method, apparatus, and electronic device for processing a video, a medium and a product are presented. An implementation of the method includes: acquiring a target video; selecting, from at least one preset model, a preset model as a target model; determining output data of the target model based on the target video and the target model; reselecting, in response to determining that the output data does not meet a condition corresponding to the target model, another preset model as the target model from the at least one preset model until the output data of the target model meets the condition corresponding to the target model; and determining, based on the output data, a dynamic cover from the target video.
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公开(公告)号：US11854237B2
公开(公告)日：2023-12-26
申请号：US17353324
申请日：2021-06-21
Inventor： Zipeng Lu , Jian Wang , Yuchen Yuan , Hao Sun , Errui Ding
IPC: G06V10/25 , G06V40/10 , G06F18/214 , G06V10/75 , G06V10/764 , G06V10/774 , G06V10/82
CPC classification number: G06V10/25 , G06F18/214 , G06V10/757 , G06V10/764 , G06V10/774 , G06V10/82 , G06V40/10 , G06V40/103
Abstract: A human body identification method, an electronic device and a storage medium, related to the technical field of artificial intelligence such as computer vision and deep learning, are provided. The method includes: inputting an image to be identified into a human body detection model, to obtain a plurality of preselected detection boxes; identifying a plurality of key points from each of the preselected detection boxes respectively according to a human body key point detection model, and obtaining a key point score of each of the key points; determining a target detection box from each of the preselected detection boxes, according to a number of the key points whose key point scores meet a key point threshold; and inputting the target detection box into a human body key point classification model, to obtain a human body identification result for the image to be identified.
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公开(公告)号：US11838294B2
公开(公告)日：2023-12-05
申请号：US17369680
申请日：2021-07-07
Inventor： Kunpeng Ji , Shuangquan Yang , Xueting Zhang
IPC: H04L9/40 , H04L67/306 , G06F16/2458 , G06F16/26 , G06F21/31 , G06F21/62 , G06Q30/02 , G06Q50/26 , G06F16/242
CPC classification number: H04L63/105 , H04L63/102 , H04L67/306
Abstract: A method for identifying a user includes: controlling an electronic device to connect to a first communication network; obtaining target behavior data of a user to be identified from a data pool corresponding to the first communication network, in which, the data pool stores at least one type of candidate behavior data of a candidate user, the candidate behavior data is obtained from a data source corresponding to a second communication network, and a security level of the first communication network is higher than a security level of the second communication network; and obtaining a category of the user to be identified by analyzing the target behavior data based on the first communication network.
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公开(公告)号：US11828606B2
公开(公告)日：2023-11-28
申请号：US17214464
申请日：2021-03-26
CPC classification number: G01C21/32 , G06T5/002 , G06T5/50 , G06T7/11 , G06V20/56 , G06T2207/10028 , G06T2207/20221
Abstract: A method and apparatus for updating a point cloud. The method may include: determining an area point cloud matching newly added point clouds from historical point clouds to be updated based on a set formed by a pose of a point cloud acquisition device acquiring the newly added point clouds. The method may further include: merging the newly added point clouds into the matched area point cloud to obtain merged historical point clouds. The method may further include: performing global optimization on the merged historical point clouds based on a pose of each point cloud in the merged historical point clouds to obtain updated point clouds.
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