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公开(公告)号：US20230245364A1
公开(公告)日：2023-08-03
申请号：US17884231
申请日：2022-08-09
Inventor： Guanying CHEN , Zhikang ZOU , Xiaoqing YE , Hao SUN
CPC classification number: G06T13/20 , G06T7/20 , G06T7/80 , G06T2207/30241
Abstract: The present disclosure provides a method for processing a video, an electronic device, and a storage medium. A specific implementation solution includes: generating a first three-dimensional movement trajectory of a virtual three-dimensional model in world space based on attribute information of a target contact surface of the virtual three-dimensional model in the world space; converting the first three-dimensional movement trajectory into a second three-dimensional movement trajectory in camera space, where the camera space is three-dimensional space for shooting an initial video; determining a movement sequence of the virtual three-dimensional model in the camera space according to the second three-dimensional movement trajectory; and compositing the virtual three-dimensional model and the initial video by means of texture information of the virtual three-dimensional model and the movement sequence, to obtain a to-be-played target video.
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公开(公告)号：US11714534B2
公开(公告)日：2023-08-01
申请号：US17494659
申请日：2021-10-05
IPC: G06F3/048 , G06F3/04845 , G06F3/04815
CPC classification number: G06F3/04845 , G06F3/04815
Abstract: A map displaying method, an electronic device, a storage medium and a terminal device are provided, and relate to the technical fields of computer vision and intelligent transportation. The method includes: receiving a trigger operation in a case that a terminal device displays a map of a first area, and determining a screen coordinate of the trigger point, where the map of the first area is a map where a first position is at a center area; determining a coordinate of a ground projection point corresponding to the trigger point based on the screen coordinate of the trigger point; switching a currently displayed map of the first area to a map of a second area, in a case that the ground projection point falls within the first area, wherein the map of the second area is a map where the ground projection point is at a center area.
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393.发明公开公开(公告)号：US20230229913A1
公开(公告)日：2023-07-20
申请号：US18125327
申请日：2023-03-23
Inventor： Weijia ZHANG , Le ZHANG , Hao LIU , Jindong HAN , Chuan QIN , Hengshu ZHU , Hui XIONG
IPC: G06N3/08
CPC classification number: G06N3/08
Abstract: A method and apparatus for training an information adjustment model of a charging station, an electronic device, and a storage medium are provided. An implementation comprises: acquiring a battery charging request, and determining environment state information corresponding to each charging station in a charging station set; determining, through an initial policy network, target operational information of each charging station in the charging station set for the battery charging request, according to the environment state information; determining, through an initial value network, a cumulative reward expectation corresponding to the battery charging request according to the environment state information and the target operational information; training the initial policy network and the initial value network by using a deep deterministic policy gradient algorithm; and determining the trained policy network as an information adjustment model corresponding to each charging station.
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公开(公告)号：US11703332B2
公开(公告)日：2023-07-18
申请号：US17171999
申请日：2021-02-09
Inventor： Dayun Shen
CPC classification number: G01C21/30 , G01C21/3602
Abstract: Embodiments of the present application disclose a vehicle positioning method, an apparatus, an electronic device, a vehicle and a storage medium, and relate to the field of automatic driving technology. A specific implementation includes: obtaining perceptual information of a lane where a vehicle is located, and obtaining high-precision information of the lane from a preset high-precision map, where the perceptual information and the high-precision information both include lane line information, and both include curb information and/or guardrail information; determining matching information of the perceptual information and the high-precision information; generating position information of the vehicle according to the matching information.
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公开(公告)号：US11694436B2
公开(公告)日：2023-07-04
申请号：US17164681
申请日：2021-02-01
Inventor： Minyue Jiang , Xiao Tan , Hao Sun , Hongwu Zhang , Shilei Wen , Errui Ding
CPC classification number: G06V20/20 , G06N3/045 , G06T7/97 , G06V20/176 , G06V20/56
Abstract: The present application discloses a vehicle re-identification method and apparatus, a device and a storage medium, which relates to the field of computer vision, intelligent search, deep learning and intelligent transportation. The specific implementation scheme is: receiving a re-identification request from a terminal device, the re-identification request including a first image of a first vehicle shot by a first camera and information of the first camera; acquiring a first feature of the first vehicle and a first head orientation of the first vehicle according to the first image; determining a second image of the first vehicle from images of multiple vehicles according to the first feature, multiple second features extracted based on the images of the multiple vehicles in an image database, the first head orientation of the first vehicle, and the information of the first camera; and transmitting the second image to the terminal device.
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Patent Agency Ranking
公开(公告)号：US11693624B2
公开(公告)日：2023-07-04
申请号：US16911490
申请日：2020-06-25
Inventor： Xintong Mou , Long Wang , Hao Li , Kuan Shi , Bo Peng , Haitao Yu , Qianqian Sha , Wenbin Ren , Xianyuan Mo , Haobo Wu
IPC: G06F16/903 , G06F7/24 , G06N20/00 , G06F17/18 , G06F18/40 , G06F18/10 , G06F18/211
CPC classification number: G06F7/24 , G06F16/903 , G06F17/18 , G06F18/10 , G06F18/211 , G06F18/40 , G06N20/00
Abstract: Embodiments of the present disclosure provide an AI capability research and development platform and a data processing method. The AI capability research and development platform includes: a data management module, a tool management module, a process management module and a model management module, where the data management module is configured to perform data processing on received data, including at least one of the following: analyzing data type of the data, converting the data according to preset data format and storing the data; the tool management module is configured to store at least one tool, each tool being used to execute a preset processing flow; the process management module is configured to perform model training according to the tool provided by the tool management module and the data provided by the data management module; the model management module is configured to store a model obtained by the model training.
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公开(公告)号：US20230206765A1
公开(公告)日：2023-06-29
申请号：US18088409
申请日：2022-12-23
Inventor： Jingang Yan , Yudong Jiang , Jianhua Wu , Pengfei Zhang
Abstract: Provided are a vehicle scheduling method, an electronic equipment and a storage medium, relating to the technical field of artificial intelligence, in particular to, the fields of Internet of Things, autonomous parking, automatic driving and the like. The vehicle scheduling method includes: reporting, by a first vehicle, based on a first broadcast channel, a first vehicle state; receiving, by the first vehicle, a second vehicle state reported by a second vehicle based on the first broadcast channel, the second vehicle being a vehicle other than the first vehicle in the same parking lot; and obtaining, by the first vehicle, a scheduling decision result for avoidance between the first vehicle and the second vehicle, according to the first vehicle state and the second vehicle state.
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398.发明公开公开(公告)号：US20230206668A1
公开(公告)日：2023-06-29
申请号：US18170902
申请日：2023-02-17
Inventor： Ruoyu GUO , Yuning DU , Chenxia LI , Qiwen LIU , Baohua LAI , Yanjun MA , Dianhai YU
CPC classification number: G06V30/19147 , G06V30/19173 , G06V30/18 , G06V30/16
Abstract: The present disclosure provides a vision processing and model training method, device, storage medium and program product. A specific implementation solution is as follows: establishing an image classification network with the same backbone network as the vision model, performing a self-monitoring training on the image classification network by using an unlabeled first data set; initializing a weight of a backbone network of the vision model according to a weight of a backbone network of the trained image classification network to obtain a pre-training model, the structure of the pre-training model being consistent with that of the vision model, and optimize the weight of the backbone network by using real data set in a current computer vision task scenario, so as to be more suitable for the current computer vision task; then, training the pre-training model by using a labeled second data set to obtain a trained vision model.
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399.发明公开公开(公告)号：US20230206595A1
公开(公告)日：2023-06-29
申请号：US18085264
申请日：2022-12-20
Inventor： Fuqiang Liu , Zhongqiang Cai , Yu Guo , Yan Chen , Ji Wan , Jun Wang , Liang Wang , Huimin Ma
IPC: G06V10/75 , G06V10/774 , G06V20/58 , G06V20/64
CPC classification number: G06V10/753 , G06V10/774 , G06V20/58 , G06V20/647 , G06V2201/07
Abstract: A three-dimensional data augmentation method includes that an original two-dimensional image and truth value annotation data matching the original two-dimensional image are acquired, that the original two-dimensional image and two-dimensional truth value annotation data are transformed according to a target transformation element to obtain a transformed two-dimensional image and transformed two-dimensional truth value annotation data, that an original intrinsic matrix is transformed according to the target transformation element to obtain a transformed intrinsic matrix, that a two-dimensional projection is performed on three-dimensional truth value annotation data according to the transformed intrinsic matrix to obtain projected truth value annotation data, and that three-dimensional augmentation image data is generated according to the transformed two-dimensional image, the transformed two-dimensional truth value annotation data, and the projected truth value annotation data.
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公开(公告)号：US20230206578A1
公开(公告)日：2023-06-29
申请号：US18181371
申请日：2023-03-09
CPC classification number: G06T19/20 , G06T17/20 , G06T2219/2012
Abstract: A method for generating a virtual character is provided, relating to a field of artificial intelligence technology, and in particular, to fields of computer vision, virtual/augmented reality and meta universe technologies. The implementation includes: converting a plurality of points of an initial three-dimensional virtual character into a frequency domain, so as to obtain a plurality of frequency domain points; rendering the plurality of frequency domain points, so as to generate a first three-dimensional virtual character; determining a perceptual feature of the first three-dimensional virtual character; and generating a second three-dimensional virtual character according to a difference between the perceptual feature and a predetermined style feature. An electronic device and a storage medium are also provided.
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