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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：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：US20220270289A1
公开(公告)日：2022-08-25
申请号：US17743402
申请日：2022-05-12
Inventor： Wei Zhang , Xiaoqing Ye , Xiao Tan , Hao Sun , Shilei Wen , Hongwu Zhang , Errui Ding
IPC: G06T7/73 , G06T7/194 , G06T7/593 , H04N13/128
Abstract: A method and device for detecting a vehicle pose, relating to the fields of computer vision and automatic driving. The specific implementation solution comprises: inputting a vehicle left view point image and a vehicle right view point image into a part prediction and mask segmentation network model, and determining foreground pixel points and part coordinates thereof in a reference image; converting coordinates of the foreground pixels in the reference image into coordinates of the foreground pixels in a camera coordinate system so as to obtain a pseudo-point cloud, and fusing part coordinate of the foreground pixels and the pseudo-point cloud to obtain fused pseudo-point cloud; and inputting the fused pseudo-point cloud into a pre-trained pose prediction model to obtain a pose information of the vehicle to be detected.
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公开(公告)号：US11875535B2
公开(公告)日：2024-01-16
申请号：US17339177
申请日：2021-06-04
Inventor： Zhikang Zou , Xiaoqing Ye , Xiao Tan , Hao Sun
CPC classification number: G06T7/80 , G06T7/74 , G06T2207/10028
Abstract: A method and an apparatus for calibrating an external parameter of a camera are provided. The method may include: acquiring a time-synchronized data set of three-dimensional point clouds and two-dimensional image of a calibration reference object, the two-dimensional image being acquired by a camera with a to-be-calibrated external parameter; establishing a transformation relationship between a point cloud coordinate system and an image coordinate system, the transformation relationship including a transformation parameter; back-projecting the data set of the three-dimensional point clouds onto a plane where the two-dimensional image is located through the transformation relationship to obtain a set of projection points of the three-dimensional point clouds; adjusting the transformation parameter to map the set of the projection points onto the two-dimensional image; and obtaining an external parameter of the camera based on the adjusted transformation parameter and the data set of the three-dimensional point clouds.
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公开(公告)号：US11776155B2
公开(公告)日：2023-10-03
申请号：US16894123
申请日：2020-06-05
Inventor： Xiaoqing Ye , Xiao Tan , Wei Zhang , Hao Sun , Errui Ding
IPC: G06T7/73 , G06N3/04 , G06N3/08 , G06T7/70 , G06T11/20 , G06V10/764 , G06V10/82 , G06V20/58 , G06V20/64 , G06V10/25 , G06F18/24 , G06F18/214
CPC classification number: G06T7/73 , G06F18/214 , G06F18/24 , G06N3/04 , G06N3/08 , G06T7/70 , G06T11/20 , G06V10/764 , G06V10/82 , G06V20/58 , G06V20/647 , G06T2207/20081 , G06T2207/20084 , G06T2210/12
Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a target object in an image. The method includes: performing following prediction operations using a pre-trained neural network: detecting a target object in a two-dimensional image to determine a two-dimensional bounding box of the target object; and determining a relative position constraint relationship between the two-dimensional bounding box of the target object and a three-dimensional projection bounding box obtained by projecting a three-dimensional bounding box of the target object into the two-dimensional image; and the method further including: determining the three-dimensional projection bounding box of the target object, based on the two-dimensional bounding box of the target object and the relative position constraint relationship between the two-dimensional bounding box of the target object and the three-dimensional projection bounding box.
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Patent Agency Ranking
6.发明授权公开(公告)号：US11538286B2
公开(公告)日：2022-12-27
申请号：US16710464
申请日：2019-12-11
Inventor： Wei Zhang , Xiao Tan , Hao Sun , Shilei Wen , Errui Ding
Abstract: A method and apparatus for vehicle damage assessment, an electronic device, and a computer-readable storage medium are provided. The method may include: extracting, from an input image, a first feature characterizing a part of a vehicle and a second feature characterizing a damage type of the vehicle; integrating the first feature and the second feature to generate a third feature characterizing a corresponding relation between the part and the damage type; converting the third feature into a characteristic vector; and determining a damage recognition result based on the characteristic vector. According to the technical solution of the disclosure, users can rapidly and accurately learn about the damage condition of the vehicle by providing pictures or videos of the damaged vehicle, thus providing an objective basis for subsequent damage assessment, claim settlement, and repair.
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公开(公告)号：US20210319261A1
公开(公告)日：2021-10-14
申请号：US17354557
申请日：2021-06-22
Inventor： Xiaoqing Ye , Xiao Tan , Hao Sun
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：US20210232856A1
公开(公告)日：2021-07-29
申请号：US17213746
申请日：2021-03-26
Inventor： Yingying Li , Xiao Tan , Minyue Jiang , Hao Sun
Abstract: The present disclosure provides an image processing method. An image to be classified is input into a feature extraction model to generate N dimensional features. Dimension fusion is performed on M features of the N dimensional features to obtain M dimension fusion features. The image to be classified is processed based on M dimension fusion features and remaining features of the N dimensional features other than the M features.
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公开(公告)号：US11657612B2
公开(公告)日：2023-05-23
申请号：US17194131
申请日：2021-03-05
Inventor： Dongliang He , Xiao Tan , Shilei Wen , Hao Sun
IPC: G06V20/40 , G06F18/2411
CPC classification number: G06V20/40 , G06F18/2411 , G06V20/41 , G06V20/46 , G06V20/48
Abstract: Embodiments of the present disclosure disclose a method and apparatus for identifying a video. A specific embodiment of the method includes: acquiring a predetermined number of video frames from a video to be identified to obtain a video frame sequence; performing the following processing step: importing the video frame sequence into a pre-trained video identification model to obtain a classification tag probability corresponding to the video frame sequence, wherein the classification tag probability is used to characterize a probability of identifying a corresponding tag category of the video to be identified; and setting, in response to the classification tag probability being greater than or equal to a preset identification accuracy threshold, a video tag for the video to be identified according to the classification tag probability, or else increasing the number of video frames in the video frame sequence and continuing to perform the above processing step.
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公开(公告)号：US11615605B2
公开(公告)日：2023-03-28
申请号：US17349055
申请日：2021-06-16
Inventor： Xiaoqing Ye , Xiao Tan , Hao Sun
Abstract: A vehicle information detection method, 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: determining a bird's-eye view of a target vehicle based on an image of the target vehicle; performing feature extraction on the image of the target vehicle and the bird's-eye view respectively, to obtain first feature information corresponding to the image of the target vehicle and second feature information corresponding to the bird's-eye view of the target vehicle; and determining three-dimensional information of the target vehicle based on the first feature information and the second feature information. According to embodiments of the disclosure, accurate detection of vehicle information can be realized based on a monocular image.
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