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公开(公告)号:US11921210B2
公开(公告)日:2024-03-05
申请号:US17959406
申请日:2022-10-04
发明人: Stephen C. Crouch , Brant Kaylor , Randy R. Reibel
IPC分类号: G01S17/42 , G01S7/48 , G01S17/89 , G06F18/22 , G06F18/2413 , G06F18/2431 , G06V10/40 , G06V10/74 , G06V10/75 , G06V10/764 , G06V20/64
CPC分类号: G01S17/42 , G01S7/4802 , G01S7/4808 , G01S17/89 , G06F18/22 , G06F18/24147 , G06F18/2431 , G06V10/40 , G06V10/7515 , G06V10/761 , G06V10/764 , G06V20/64
摘要: A method for classifying an object in a point cloud includes computing first and second classification statistics for one or more points in the point cloud. Closest matches are determined between the first and second classification statistics and a respective one of a set of first and second classification statistics corresponding to a set of N classes of a respective first and second classifier, to estimate the object is in a respective first and second class. If the first class does not correspond to the second class, a closest fit is performed between the point cloud and model point clouds for only the first and second classes of a third classifier. The object is assigned to the first or second class, based on the closest fit within near real time of receiving the 3D point cloud. A device is operated based on the assigned object class.
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公开(公告)号:US11881034B2
公开(公告)日:2024-01-23
申请号:US17791753
申请日:2020-12-25
申请人: HITACHI ASTEMO, LTD.
发明人: Masayuki Takemura , Takeshi Shima , Haruki Matono
CPC分类号: G06V20/588 , G06V10/443 , G06V10/7515 , G06V10/761 , G06V20/647 , G08G1/167 , H04N13/225
摘要: Erroneous detection due to erroneous parallax measurement is suppressed to accurately detect a step present on a road. An in-vehicle environment recognition device 1 includes a processing device that processes a pair of images acquired by a stereo camera unit 100 mounted on a vehicle. The processing device includes a stereo matching unit 200 that measures a parallax of the pair of images and generates a parallax image, a step candidate extraction unit 300 that extracts a step candidate of a road on which the vehicle travels from the parallax image generated by the stereo matching unit 200, a line segment candidate extraction unit 400 that extracts a line segment candidate from the images acquired by the stereo camera unit 100, an analysis unit 500 that performs collation between the step candidate extracted by the step candidate extraction unit 300 and the line segment candidate extracted by the line segment candidate extraction unit 400 and analyzes validity of the step candidate based on the collation result and an inclination of the line segment candidate, and a three-dimensional object detection unit 600 that detects a step present on the road based on the analysis result of the analysis unit 500.
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公开(公告)号:US11847777B1
公开(公告)日:2023-12-19
申请号:US18222660
申请日:2023-07-17
发明人: Soo-Yeon Mo , Hee-Chul Lim
CPC分类号: G06T7/001 , G06T3/40 , G06T7/32 , G06T7/60 , G06T7/74 , G06V10/7515 , G06T2207/20016 , G06T2207/30148
摘要: A method of centering a correlation-based overlay includes resizing an overlay target image to a size smaller than an entire image size, defining first and second templates that are symmetrical to each other based on a diagonal in the resized image, and calculating a rough center coordinate by calculating a first correlation value representing a similarity symmetrical with respect to the diagonal between images of the first and second templates; defining first and second templates symmetrical based on a diagonal passing through the rough center coordinates in an original image of the overlay target image, calculating a fine center coordinate of the overlay target image by calculating a second correlation value representing a similarity symmetrical with respect to the diagonal between the images of the first and second templates; and centering an overlay key by moving a stage to a target position based on the fine center coordinates.
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公开(公告)号:US20230326279A1
公开(公告)日:2023-10-12
申请号:US18333874
申请日:2023-06-13
申请人: ALPVISION S.A.
IPC分类号: G07D7/2033 , G06V10/24 , G06V10/75 , G06V20/80 , G06V30/24 , G06V40/12 , H04N23/56 , G06V20/66 , G06T7/00
CPC分类号: G07D7/2033 , G06V10/242 , G06V10/7515 , G06V20/80 , G06V30/248 , G06V30/2504 , G06V40/1371 , H04N23/56 , G06V20/66 , G06T7/0004 , G04B47/00
摘要: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones
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公开(公告)号:US20230326237A1
公开(公告)日:2023-10-12
申请号:US18098394
申请日:2023-01-18
申请人: Egis Technology Inc.
发明人: YUAN-LIN CHIANG , YU-CHUN CHENG
CPC分类号: G06V40/1376 , G06V10/7515
摘要: A method for fingerprint comparison according to an embodiment includes acquiring a fingerprint image to be compared, performing a first-stage fingerprint comparison on the fingerprint image to be compared and an enrolled fingerprint image, determining, according to a result of the first-stage fingerprint comparison, whether to perform a second-stage fingerprint comparison on the fingerprint image to be compared and the enrolled fingerprint image, and determining, according to the result of the first-stage fingerprint comparison or a result of the second-stage fingerprint comparison, whether the comparison between the fingerprint image to be compared and the enrolled fingerprint image is successful. With the method, the fingerprint comparison speed can be improved.
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公开(公告)号:US11721153B2
公开(公告)日:2023-08-08
申请号:US17182845
申请日:2021-02-23
申请人: ALPVISION S.A.
IPC分类号: G07D7/2033 , G06V10/24 , G06V10/75 , G06V20/80 , G06V30/24 , G06V40/12 , H04N23/56 , G06V20/66 , G06T7/00 , G04B47/00
CPC分类号: G07D7/2033 , G06T7/0004 , G06V10/242 , G06V10/7515 , G06V20/66 , G06V20/80 , G06V30/248 , G06V30/2504 , G06V40/1371 , H04N23/56 , G04B47/00 , G06T2207/30176
摘要: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.
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7.
公开(公告)号:US12116025B2
公开(公告)日:2024-10-15
申请号:US17151528
申请日:2021-01-18
发明人: Asghar Farooqui
IPC分类号: B61F5/22 , B61D3/04 , B60G17/019 , B61B1/02 , B61D1/00 , B61F5/10 , B66B1/40 , G06V10/22 , G06V10/75 , G06V20/56
CPC分类号: B61F5/22 , B61D3/04 , B60G17/019 , B61B1/02 , B61D1/00 , B61F5/10 , B66B1/40 , G06V10/225 , G06V10/7515 , G06V20/56
摘要: A method for controlling a position of a floor of a carriage of a railway vehicle moving on rails, relative to a platform. The carriage includes a body including the floor, at least one bogie, and at least one suspension interposed between the body and the bogie. The method includes determining a level difference between the actual position of the carriage relative to the platform and an expected position of the carriage relative to the platform, adjusting a height of the suspension for compensating the determined level difference. Determining the level difference includes capturing an image of at least one predetermined pattern comprised on the platform with a camera borne by the body, comparing the captured image with a memorized reference image of the at least one pattern of the platform, and calculating a vertical displacement from the images to determine the level difference.
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公开(公告)号:US12094286B2
公开(公告)日:2024-09-17
申请号:US18333874
申请日:2023-06-13
申请人: ALPVISION S.A.
IPC分类号: G06K9/00 , G06T7/00 , G06V10/24 , G06V10/75 , G06V20/66 , G06V20/80 , G06V30/24 , G06V40/12 , G07D7/2033 , H04N23/56 , G04B47/00
CPC分类号: G07D7/2033 , G06T7/0004 , G06V10/242 , G06V10/7515 , G06V20/66 , G06V20/80 , G06V30/248 , G06V30/2504 , G06V40/1371 , H04N23/56 , G04B47/00 , G06T2207/30176
摘要: The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.
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公开(公告)号:US11868437B1
公开(公告)日:2024-01-09
申请号:US17039274
申请日:2020-09-30
申请人: SIGHTHOUND, INC.
发明人: R J Burnham , Syed Zain Masood , Sam Michel , Jonathan Taylor
IPC分类号: G06F18/214 , G06N3/08 , G06V10/75 , G06F18/21 , G06T5/00 , G06N20/20 , G06V10/30 , G06V10/82 , G06V10/774
CPC分类号: G06F18/2148 , G06F18/2178 , G06N3/08 , G06N20/20 , G06T5/001 , G06V10/30 , G06V10/7515 , G06V10/774 , G06V10/82 , G06T2207/10004 , G06T2207/20081 , G06T2207/20182
摘要: Embodiments for training a deep neural network by applying tags to enhanced versions of a raw data set are disclosed. In one embodiment, the raw data set may comprise, for example, images, and the method may comprise receiving the raw data set of images, applying an enhancement to the images, deriving tags based on the enhanced images while maintaining a correlation to the original raw images, and using the raw images and the tags to train a deep neural network.
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公开(公告)号:US11836224B2
公开(公告)日:2023-12-05
申请号:US17411007
申请日:2021-08-24
申请人: TONGJI UNIVERSITY
发明人: Deshuang Huang , Yong Wu
CPC分类号: G06F18/256 , G06N3/08 , G06T5/20 , G06T5/50 , G06T7/73 , G06V10/7515 , G06T2207/10024 , G06T2207/10048 , G06T2207/20081 , G06T2207/20084
摘要: Disclosed is a cross-modality person re-identification method based on local information learning, the method comprising the following steps: acquiring a standard data set and performing data enhancement on the standard data set; dividing the enhanced standard data set into a training set and a test set; constructing a cross-modality person re-identification training network based on a dual-stream ResNet50 convolutional neural network architecture; inputting the training set into the cross-modality person re-identification training network to obtain a cross-modality person re-identification test network through training; randomly selecting an image to be queried from the test set, and inputting the image to be queried and a candidate database from the test set into the cross-modality person re-identification test network to obtain an identification accuracy value corresponding to the image to be queried.
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