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公开(公告)号：US11823494B2
公开(公告)日：2023-11-21
申请号：US17494724
申请日：2021-10-05
Inventor： Tao Hu , Xiangbo Su
CPC classification number: G06V40/20 , G06V10/40 , G06V10/751 , G06V20/52
Abstract: A human behavior recognition method, a device, and a storage medium are provided, which are related to the field of artificial intelligence, specifically to computer vision and deep learning technologies, and applicable to smart city scenarios. The method includes: obtaining attribute information of a target object and N pieces of candidate behavior-related information of a target human from a target image, wherein N is an integer greater than or equal to 1; determining target behavior-related information based on comparison results between the N pieces of candidate behavior-related information and the attribute information of the target object; and determining a behavior recognition result of the target human based on the target behavior-related information.
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公开(公告)号：US11822568B2
公开(公告)日：2023-11-21
申请号：US17577668
申请日：2022-01-18
Inventor： Zhen Wang
CPC classification number: G06F16/254 , G06F16/215 , G06F16/219 , G06F16/2237 , G06F16/2365
Abstract: A data processing method, an electronic equipment, and a storage medium. The method includes: acquiring target data; performing a data segmentation on the target data by using a first micro-service to obtain a plurality of types of sub-data; using a plurality of second micro-services to process the plurality of types of sub-data to obtain a plurality of data processing results respectively corresponding to the plurality of second micro-services, in which each second micro-service corresponds to one type of sub-data; combining the plurality of data processing results to obtain a target data processing result.
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公开(公告)号：US11798408B2
公开(公告)日：2023-10-24
申请号：US17532407
申请日：2021-11-22
Inventor： Yile Wang , Ning Yang , Chuanming Zhang
CPC classification number: G08G1/0145 , G08G1/0129 , G08G1/052 , G08G1/081
Abstract: Provided are a green wave speed determination method, an electronic device and a storage medium, which relates to the field of artificial intelligence, particularly, the field of intelligent traffic technology. The implementation scheme is as follows: a stop position of a vehicle to be detected at an intersection and waiting time of an indicator light at the intersection are acquired; and a green wave speed of the vehicle to be detected is determined according to a traffic condition type, the stop position and the waiting time.
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公开(公告)号：US11788857B2
公开(公告)日：2023-10-17
申请号：US17562432
申请日：2021-12-27
Inventor： Xinxin Pei , Wei Yu
CPC classification number: G01C21/3667 , G01C21/30 , G01C21/3415
Abstract: The present disclosure provides a route processing method and apparatus. The specific implementation includes: acquiring a vehicle driving route according to a standard definition map, where the vehicle driving route comprises multiple standard definition map road sections of the standard definition map; determining at least one first road section from the multiple standard definition map road sections according to a road section mapping relationship between the standard definition map and a high definition map, where each first road section has a unique corresponding target road section in the high definition map; determining the target road section corresponding to each first road section in the high definition map according to the road section mapping relationship; and determining a target driving route corresponding to the vehicle driving route in the high definition map according to the target road section corresponding to each first road section and the high definition map.
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公开(公告)号：US20230317058A1
公开(公告)日：2023-10-05
申请号：US17965869
申请日：2022-10-14
Inventor： Yinhui ZHANG
IPC: G10L15/02 , G10L15/183
CPC classification number: G10L15/02 , G10L15/183
Abstract: Spoken language processing method and apparatus, a device, and a storage medium, which relate to the field of artificial intelligence and, in particular, to the fields of deep learning, natural-language understanding, intelligent customer service, and the like. The specific implementation solution includes: determining a word feature of a word in spoken text information; determining a correlation feature of the word in the spoken text information; and determining an effect of the word on fluency of the spoken text information according to the word feature of the word and the correlation feature of the word.
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Patent Agency Ranking
86.发明公开公开(公告)号：US20230289372A1
公开(公告)日：2023-09-14
申请号：US17948534
申请日：2022-09-20
Inventor： Zhixiang CHEN , Shaoyi SUN , Hailin JIANG
CPC classification number: G06F16/29 , G06F16/219 , G06F8/658
Abstract: An electronic map update method includes: determining an update period of a first electronic map corresponding to a user equipment in response to a map update request sent by the user equipment; determining at least one piece of per-period incremental information currently corresponding to a second electronic map of a latest version; where the per-period incremental information includes an incremental period, the per-period incremental information is a data change record of an electronic map in the incremental period, and the incremental period is a period for starting an incremental conversion of the electronic map; querying, from the at least one piece of per-period incremental information, target incremental information of which a corresponding incremental period is located in the update period; and updating the first electronic map of the user equipment to the second electronic map based on the target incremental information.
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87.发明授权公开(公告)号：US11755654B2
公开(公告)日：2023-09-12
申请号：US17173318
申请日：2021-02-11
Inventor： Qian Li , Yabing Shi , Ye Jiang , Chunguang Chai , Yong Zhu
IPC: G06F16/90 , G06F16/9032 , G06F16/906 , G06F16/903 , G06F40/30 , G06N3/049
CPC classification number: G06F16/90332 , G06F16/906 , G06F16/90335 , G06F40/30 , G06N3/049
Abstract: Provided by the present disclosure is a new category tag mining method, involving the field of knowledge graph technology, and including: obtaining a plurality of queries during a current preset time period; labeling a category tag on each query of the plurality of queries, by using a pre-trained sequence labeling model, to extract the category tag currently corresponding to the query from the query; and removing a category tag already existing in a preset current category tag library from category tags currently corresponding to all the queries, and determining a remaining category tag as a new category tag. The present disclosure also provides an electronic device and a non-transitory computer-readable storage medium.
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公开(公告)号：US20230283655A1
公开(公告)日：2023-09-07
申请号：US18097607
申请日：2023-01-17
Inventor： Mengbo LIU , Zhi FENG
IPC: H04L67/1008 , H04L67/1023
CPC classification number: H04L67/1008 , H04L67/1023
Abstract: A data download technical solution is disclosed. The solution relates to the technical field of artificial intelligence such as cloud computing and big data. The data download method includes receiving a data download request, the data download request including at least one data download task; judging whether the data download request is a new request, request content of which is different from that of a historical data download request; and acquiring a download result corresponding to the at least one data download task based on a judgment result.
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公开(公告)号：US20230282016A1
公开(公告)日：2023-09-07
申请号：US17898678
申请日：2022-08-30
Inventor： Huihui HE , Jiayang WANG , Yubo XIANG
CPC classification number: G06V30/19187 , G06N3/08 , G06T9/002 , G06V30/19147 , G06V30/1916
Abstract: Provided are method for recognizing a receipt, an electronic device and a storage medium, which relate to the fields of deep learning and pattern recognition. The method may include: a target receipt to be recognized is acquired; two-dimensional position information of multiple text blocks on the target receipt respectively is encoded, to obtain multiple encoding results; graph convolution is performed on the multiple encoding results respectively, to obtain multiple convolution results; and each of the multiple convolution results is recognized based on a first conditional random field model, to obtain a first prediction result at text block-level of the target receipt, wherein the first conditional random field model and a second conditional random field model are co-trained, so as to obtain a second prediction result at token-level of the target receipt.
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公开(公告)号：US11741726B2
公开(公告)日：2023-08-29
申请号：US17494682
申请日：2021-10-05
Inventor： Yingying Li , Xiao Tan , Hao Sun
IPC: G06V20/56 , G06T7/194 , G06T7/70 , G06V20/54 , G06V10/22 , G08G1/01 , G06F18/23 , G06F18/2431 , G06F18/2413
CPC classification number: G06V20/588 , G06F18/23 , G06F18/2431 , G06F18/24137 , G06T7/194 , G06T7/70 , G06V10/22 , G06V20/54 , G08G1/0133 , G06T2207/30256
Abstract: A lane line detection method, an electronic device, and a storage medium, related to the field of artificial intelligence, and particularly related to computer vision and deep learning technologies, which can be applied to intelligent traffic scenes, are provided. The method includes: dividing an image into a foreground region and a background region; determining a solid line and a dotted line included in the foreground region; determining, according to the solid line and the dotted line comprised in the foreground region, whether a dotted-and-solid line is included in the foreground region; and determining a lane line detection result according to the solid line, the dotted line, and whether a dotted-and-solid line is comprised in the foreground region. According to the technical solution, the accuracy of lane line detection can be improved.
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