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    ARTIFICIAL INTELLIGENCE-BASED HIERARCHICAL PLANNING FOR MANNED/UNMANNED PLATFORMS
    1.
    发明公开
    ARTIFICIAL INTELLIGENCE-BASED HIERARCHICAL PLANNING FOR MANNED/UNMANNED PLATFORMS 审中-公开

    公开(公告)号：US20230394294A1

    公开(公告)日：2023-12-07

    申请号：US17151506

    申请日：2021-01-18

    Applicant: SRI International

    Inventor： Han-Pang Chiu ,  Jonathan D. Brookshire ,  Zachary Seymour ,  Niluthpol C. Mithun ,  Supun Samarasekera ,  Rakesh Kumar ,  Qiao Wang

    IPC: G06N3/092 ,  G06N3/04

    CPC classification number: G06N3/092 ,  G06N3/04

    Abstract: A method, apparatus and system for artificial intelligence-based HDRL planning and control for coordinating a team of platforms includes implementing a global planning layer for determining a collective goal and determining, by applying at least one machine learning process, at least one respective platform goal to be achieved by at least one platform, implementing a platform planning layer for determining, by applying at least one machine learning process, at least one respective action to be performed by the at least one of the platforms to achieve the respective platform goal, and implementing a platform control layer for determining at least one respective function to be performed by the at least one of the platforms. In the method, apparatus and system despite the fact that information is shared between at least two of the layers, the global planning layer, the platform planning layer, and the platform control layer are trained separately.

    Computer aided inspection system and methods
    2.
    发明授权
    Computer aided inspection system and methods 有权

    公开(公告)号：US11270426B2

    公开(公告)日：2022-03-08

    申请号：US16412067

    申请日：2019-05-14

    Applicant: SRI International

    Inventor： Garbis Salgian ,  Bogdan C. Matei ,  Taragay Oskiper ,  Mikhail Sizintsev ,  Rakesh Kumar ,  Supun Samarasekera

    IPC: G06K9/00 ,  G06T7/00 ,  G02B27/01 ,  G01B11/02

    Abstract: Computer aided inspection systems (CAIS) and method for inspection, error analysis and comparison of structures are presented herein. In some embodiments, a CAIS may include a SLAM system configured to determine real-world global localization information of a user in relation to a structure being inspected using information obtained from a first sensor package, a model alignment system configured to: use the determined global localization information to index into a corresponding location in a 3D computer model of the structure being inspected; and align observations and/or information obtained from the first sensor package to the local area of the model 3D computer model of the structure extracted; a second sensor package configured to obtain fine level measurements of the structure; and a model recognition system configured to compare the fine level measurements and information obtained about the structure from the second sensor package to the 3D computer model.

    Augmented reality vision system for tracking and geolocating objects of interest
    4.
    发明授权
    Augmented reality vision system for tracking and geolocating objects of interest 有权
    增强现实视觉系统，用于跟踪和定位感兴趣的对象

    公开(公告)号：US09495783B1

    公开(公告)日：2016-11-15

    申请号：US13916702

    申请日：2013-06-13

    Applicant: SRI INTERNATIONAL

    Inventor： Supun Samarasekera ,  Taragay Oskiper ,  Rakesh Kumar ,  Mikhail Sizintsev ,  Vlad Branzoi

    IPC: G09G5/00 ,  G06T11/60 ,  G06T19/00 ,  G06T7/00

    CPC classification number: G06T11/00 ,  G06K9/00671 ,  G06K9/2054 ,  G06K9/209 ,  G06T7/246 ,  G06T11/60 ,  G06T19/006 ,  G06T2207/10021 ,  G06T2207/20081 ,  G06T2207/30184 ,  H04N5/2258

    Abstract: Methods and apparatuses for tracking objects comprise one or more optical sensors for capturing one or more images of a scene, wherein the one or more optical sensors capture a wide field of view and corresponding narrow field of view for the one or more images of a scene, a localization module, coupled to the one or more optical sensors for determining the location of the apparatus, and determining the location of one more objects in the one or more images based on the location of the apparatus and an augmented reality module, coupled to the localization module, for enhancing a view of the scene on a display based on the determined location of the one or more objects.

    Abstract translation: 用于跟踪物体的方法和装置包括用于捕获场景的一个或多个图像的一个或多个光学传感器，其中所述一个或多个光学传感器捕获场景的一个或多个图像的宽视场和相应的窄视场 耦合到所述一个或多个光学传感器以确定所述设备的位置的定位模块，以及基于所述设备和增强现实模块的位置来确定所述一个或多个图像中的另一个对象的位置，所述定位模块耦合到 该定位模块用于基于所确定的一个或多个对象的位置来增强显示器上场景的视图。

    Semantically-aware image-based visual localization
    10.
    发明授权
    Semantically-aware image-based visual localization 有权

    公开(公告)号：US11361470B2

    公开(公告)日：2022-06-14

    申请号：US16667047

    申请日：2019-10-29

    Applicant: SRI International

    Inventor： Han-Pang Chiu ,  Zachary Seymour ,  Karan Sikka ,  Supun Samarasekera ,  Rakesh Kumar ,  Niluthpol Mithun

    IPC: G01S17/89 ,  G01S7/48 ,  G06F16/583 ,  G06K9/62 ,  G06T7/00 ,  G06T7/73 ,  G06V10/44 ,  G06V10/82 ,  G06V20/00

    Abstract: A method, apparatus and system for visual localization includes extracting appearance features of an image, extracting semantic features of the image, fusing the extracted appearance features and semantic features, pooling and projecting the fused features into a semantic embedding space having been trained using fused appearance and semantic features of images having known locations, computing a similarity measure between the projected fused features and embedded, fused appearance and semantic features of images, and predicting a location of the image associated with the projected, fused features. An image can include at least one image from a plurality of modalities such as a Light Detection and Ranging image, a Radio Detection and Ranging image, or a 3D Computer Aided Design modeling image, and an image from a different sensor, such as an RGB image sensor, captured from a same geo-location, which is used to determine the semantic features of the multi-modal image.

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