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2316 条记录 (耗时 0.031 秒)

    DETERMINATION OF OBJECT TRAJECTORY FROM AUGMENTED IMAGE DATA
    1.
    发明公开
    DETERMINATION OF OBJECT TRAJECTORY FROM AUGMENTED IMAGE DATA 审中-公开

    公开(公告)号：US20240362922A1

    公开(公告)日：2024-10-31

    申请号：US18309663

    申请日：2023-04-28

    申请人： TORC Robotics, Inc.

    发明人： Tianyi YANG ,  Dalong LI ,  Alex SMITH

    IPC分类号： G06V20/58 ,  G06T7/20 ,  G06V10/764 ,  G06V20/56

    CPC分类号： G06V20/58 ,  G06T7/20 ,  G06V10/764 ,  G06V20/588 ,  G06T2207/30241 ,  G06V2201/07

    摘要： Aspects of this technical solution can include identifying, by a processor coupled to non-transitory memory, a plurality of bounding boxes for one or more objects depicted in each image of a sequence of images captured during operation of an autonomous vehicle, allocating, by the processor and based on corresponding positions of the bounding boxes in each image and corresponding time stamps, one or more of the bounding boxes to one or more tracking identifiers each indicating trajectories of corresponding objects, generating, by the processor and based on the time stamps and the bounding boxes allocated to each of the tracking identifiers, one or more tracking images for each of the tracking identifiers, each of the tracking images including visual indications of the time stamps, and training, by the processor and based on the tracking images, an artificial intelligence model to output an indication of a type of trajectory.

    SLAM METHOD AND DEVICE BASED ON SPARSE DEPTH IMAGE, TERMINAL EQUIPMENT AND MEDIUM
    4.
    发明公开
    SLAM METHOD AND DEVICE BASED ON SPARSE DEPTH IMAGE, TERMINAL EQUIPMENT AND MEDIUM 审中-公开

    公开(公告)号：US20240346682A1

    公开(公告)日：2024-10-17

    申请号：US18500555

    申请日：2023-11-02

    申请人： RUICHI ZHIHUI TECHNOLOGY (AN JI) CO., LTD

    发明人： Long TANG

    IPC分类号： G06T7/70

    CPC分类号： G06T7/70 ,  G06T2207/10028 ,  G06T2207/30241

    摘要： Disclosed are a simultaneous localization and mapping (SLAM) method and a device based on a sparse depth image, a terminal equipment and a medium. The SLAM method based on a sparse depth image includes: acquiring an environment image collected by a camera and an environment sparse depth image collected by a time of flight (TOF) sensor, and analyzing and processing the environment image and the environment sparse depth image through a preset SLAM system to acquire corresponding pose information. The pose information is used for localization, mapping and path planning of an unmanned system.

    Method and Apparatus for Interaction in Three-Dimensional Space, Storage Medium, and Electronic Apparatus
    5.
    发明公开
    Method and Apparatus for Interaction in Three-Dimensional Space, Storage Medium, and Electronic Apparatus 审中-公开

    公开(公告)号：US20240338905A1

    公开(公告)日：2024-10-10

    申请号：US18575921

    申请日：2022-08-16

    申请人： ZTE Corporation

    发明人： Yibao LUO ,  Qiaoyun CUI ,  Jinjun WANG

    IPC分类号： G06T19/00 ,  G06F3/01 ,  G06T7/246

    CPC分类号： G06T19/006 ,  G06F3/011 ,  G06F3/017 ,  G06T7/246 ,  G06T2207/30241

    摘要： Provided are a method and apparatus for interaction in a three-dimensional space. The method includes: displaying a target augmented reality three-dimensional picture on a target augmented reality device, and displaying a target virtual interaction object in a virtual three-dimensional space in the target augmented reality three-dimensional picture, wherein the real three-dimensional space is rasterized and the virtual three-dimensional space is rasterized, and there is a mapping relationship therebetween; acquiring a target movement trajectory of a target object in the real three-dimensional space; determining a real cell set through which the target movement trajectory passes; determining a passing first virtual cell set corresponding to the passing real cell set; and determining whether the target movement trajectory triggers a target interaction operation of the target virtual interaction object according to the position relationship between the first virtual cell set and a second virtual cell set.

    ANIMATION DATA GENERATION
    6.
    发明公开
    ANIMATION DATA GENERATION 审中-公开

    公开(公告)号：US20240331257A1

    公开(公告)日：2024-10-03

    申请号：US18739539

    申请日：2024-06-11

    申请人： Tencent Technology (Shenzhen) Company Limited

    发明人： Shun CAO ,  Hua KOU ,  Yifan CAO ,  Nan WEI ,  Yu WU ,  Congbing LI ,  Xiaochun CUI

    IPC分类号： G06T13/40 ,  G06T7/246

    CPC分类号： G06T13/40 ,  G06T7/246 ,  G06T2207/20084 ,  G06T2207/30196 ,  G06T2207/30241

    摘要： This application describes an animation data generation method and apparatus, and a related product, which may be applied to scenarios such as a cloud technology, artificial intelligence (AI), intelligent transportation, assisted driving, digital human, virtual human, gaming, virtual reality, and extended reality (XR). Features of a virtual object in a virtual scene are obtained, and animation data of the virtual object is generated through a trained neural network based on the features. The use of the neural network omits storage of massive data into an internal memory and query of the massive data for a matched animation during generation of the animation data, and only requires storage of weight data related to the neural network in advance. Therefore, only a small internal memory is occupied, thereby avoiding problems such as large internal memory occupation and poor query performance during generation of the animation data.

    Automated virtual tripwire placement
    8.
    发明授权
    Automated virtual tripwire placement 有权

    公开(公告)号：US12094204B2

    公开(公告)日：2024-09-17

    申请号：US18214011

    申请日：2023-06-26

    申请人： UBICQUIA IQ LLC

    发明人： Samuel Leonard Holden ,  Morné Neser

    IPC分类号： G06V20/40 ,  G06T7/246 ,  G06T7/70 ,  G06V10/22

    CPC分类号： G06V20/40 ,  G06T7/248 ,  G06T7/70 ,  G06V10/22 ,  G06T2207/10016 ,  G06T2207/30241 ,  G06T2207/30242

    摘要： A system including at least one aerially mounted camera and at least one processor performs a method for selecting a location to place a virtual tripwire onto grid points of a geocoordinate grid. The processor(s) directs a camera to capture a series of images within the camera's field of view. The processor(s) identifies one or more objects of interest within the images and determines movements of the objects through the series of images. The processor(s) identifies directions of travel of the objects of interest. The processor(s) further determines a vector of direction of travel for each object of interest on the grid. The processor(s) then determines at least one candidate location for placement of the virtual tripwire and automatically selects a location for placement of the virtual tripwire based at least on the vector of direction of travel for an object of interest.