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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
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.
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2.发明授权Real-time system for multi-modal 3D geospatial mapping, object recognition, scene annotation and analytics 有权多模式3D地理空间映射，对象识别，场景注释和分析的实时系统公开(公告)号：US09476730B2
公开(公告)日：2016-10-25
申请号：US14575495
申请日：2014-12-18
Applicant: SRI International
Inventor： Supun Samarasekera , Raia Hadsell , Rakesh Kumar , Harpreet S. Sawhney , Bogdan C. Matei , Ryan Villamil
CPC classification number: G08G5/0069 , G01C11/02 , G01C21/32 , G01C21/3673 , G06K9/00637 , G06K9/6267 , G06K9/6293 , G06T17/05 , G06T2200/04 , G06T2207/10012 , G08G5/0004 , G08G5/003 , G08G5/0073
Abstract: A multi-sensor, multi-modal data collection, analysis, recognition, and visualization platform can be embodied in a navigation capable vehicle. The platform provides an automated tool that can integrate multi-modal sensor data including two-dimensional image data, three-dimensional image data, and motion, location, or orientation data, and create a visual representation of the integrated sensor data, in a live operational environment. An illustrative platform architecture incorporates modular domain-specific business analytics “plug ins” to provide real-time annotation of the visual representation with domain-specific markups.
Abstract translation: 多传感器，多模式数据采集，分析，识别和可视化平台可以体现在导航功能的车辆中。 该平台提供了一个自动化工具，可以集成多模态传感器数据，包括二维图像数据，三维图像数据和运动，位置或方向数据，并在现场直接创建集成传感器数据的可视化表示 操作环境。 一个说明性的平台架构包含模块化领域特定业务分析“插件”，以提供具有域特定标记的视觉表示的实时注释。
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公开(公告)号：US11074477B2
公开(公告)日：2021-07-27
申请号：US15654708
申请日：2017-07-20
Applicant: SRI International
Inventor： Harpreet Singh Sawhney , Jayakrishnan Eledath , Mayank Bansal , Bogdan C. Matei , Xutao Lv , Chaitanya Desai , Timothy Shields
IPC: G06K9/62 , G06F16/50 , G06F16/332 , G06K9/00 , G06F16/54 , G06F16/583
Abstract: A computing system and method for identifying related visual content of a collection of visual media files comprising one or more image files and video files includes monitoring inputs to the computing system, the inputs associated with a user interaction with electronic content using the computer system, identifying a visual media file in the collection of visual media files relevant to the electronic content based on a semantic label assigned to the visual media file by the computing system, creating a representative image of the identified visual media file, and displaying the representative image for selection. The computing system enables a selection of the displayed representative image for association of the identified visual media file with the electronic content.
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公开(公告)号：US20200184718A1
公开(公告)日：2020-06-11
申请号：US16523313
申请日：2019-07-26
Applicant: SRI International
Inventor： Han-Pang Chiu , Supun Samarasekera , Rakesh Kumar , Bogdan C. Matei , Bhaskar Ramamurthy
Abstract: A method for providing a real time, three-dimensional (3D) navigational map for platforms includes integrating at least two sources of multi-modal and multi-dimensional platform sensor information to produce a more accurate 3D navigational map. The method receives both a 3D point cloud from a first sensor on a platform with a first modality and a 2D image from a second sensor on the platform with a second modality different from the first modality, generates a semantic label and a semantic label uncertainty associated with a first space point in the 3D point cloud, generates a semantic label and a semantic label uncertainty associated with a second space point in the 2D image, and fuses the first space semantic label and the first space semantic uncertainty with the second space semantic label and the second space semantic label uncertainty to create fused 3D spatial information to enhance the 3D navigational map.
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公开(公告)号：US20160042253A1
公开(公告)日：2016-02-11
申请号：US14452244
申请日：2014-08-05
Applicant: SRI International
Inventor： Harpreet Singh Sawhney , Jayakrishnan Eledath , Mayank Bansal , Bogdan C. Matei , Xutao Lv , Chaitanya Desai , Timothy Shields
IPC: G06K9/62
CPC classification number: G06K9/6255 , G06F17/30244 , G06F17/30274 , G06F17/3064 , G06K9/00684 , G06K9/6215 , G06K9/6218 , G06K9/6224 , G06K2209/25
Abstract: A computing system for realizing visual content of an image collection executes feature detection algorithms and semantic reasoning techniques on the images in the collection to elicit a number of different types of visual features of the images. The computing system indexes the visual features and provides technologies for multi-dimensional content-based clustering, searching, and iterative exploration of the image collection using the visual features and/or the visual feature indices.
Abstract translation: 用于实现图像集合的视觉内容的计算系统对集合中的图像执行特征检测算法和语义推理技术以引出图像的许多不同类型的视觉特征。 计算系统利用视觉特征和/或视觉特征索引对视觉特征进行索引，并提供了基于多维内容的聚类，搜索和迭代探索图像收集的技术。
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Patent Agency Ranking
公开(公告)号：US10810734B2
公开(公告)日：2020-10-20
申请号：US16457156
申请日：2019-06-28
Applicant: SRI International , Obayashi Corporation
Inventor： Garbis Salgian , Bogdan C. Matei , Matthieu Henri Lecce , Abhinav Rajvanshi , Supun Samarasekera , Rakesh Kumar , Tamaki Horii , Yuichi Ikeda , Hidefumi Takenaka
Abstract: Embodiments of the present invention generally relate to computer aided rebar measurement and inspection systems. In some embodiments, the system may include a data acquisition system configured to obtain fine-level rebar measurements, images or videos of rebar structures, a 3D point cloud model generation system configured to generate a 3D point cloud model representation of the rebar structure from information acquired by the data acquisition system, a rebar detection system configured to detect rebar within the 3D point cloud model generated or the rebar images or videos of the rebar structures, a rebar measurement system to measure features of the rebar and rebar structures detected by the rebar detection system, and a discrepancy detection system configured to compare the measured features of the rebar structures detected by the rebar detection system with a 3D Building Information Model (BIM) of the rebar structures, and determine any discrepancies between them.
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公开(公告)号：US20200005447A1
公开(公告)日：2020-01-02
申请号：US16457156
申请日：2019-06-28
Applicant: SRI International , Obayashi Corporation
Inventor： Garbis Salgian , Bogdan C. Matei , Matthieu Henri Lecce , Abhinav Rajvanshi , Supun Samarasekera , Rakesh Kumar , Tamaki Horii , Yuichi Ikeda , Hidefumi Takenaka
Abstract: Embodiments of the present invention generally relate to computer aided rebar measurement and inspection systems. In some embodiments, the system may include a data acquisition system configured to obtain fine-level rebar measurements, images or videos of rebar structures, a 3D point cloud model generation system configured to generate a 3D point cloud model representation of the rebar structure from information acquired by the data acquisition system, a rebar detection system configured to detect rebar within the 3D point cloud model generated or the rebar images or videos of the rebar structures, a rebar measurement system to measure features of the rebar and rebar structures detected by the rebar detection system, and a discrepancy detection system configured to compare the measured features of the rebar structures detected by the rebar detection system with a 3D Building Information Model (BIM) of the rebar structures, and determine any discrepancies between them.
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公开(公告)号：US09911340B2
公开(公告)日：2018-03-06
申请号：US15344900
申请日：2016-11-07
Applicant: SRI INTERNATIONAL
Inventor： Supun Samarasekera , Raia Hadsell , Rakesh Kumar , Harpreet S. Sawhney , Bogdan C. Matei , Ryan Villamil
CPC classification number: G08G5/0069 , G01C11/02 , G01C21/32 , G01C21/3673 , G06K9/00637 , G06K9/6267 , G06K9/6293 , G06T17/05 , G06T2200/04 , G06T2207/10012 , G08G5/0004 , G08G5/003 , G08G5/0073
Abstract: A multi-sensor, multi-modal data collection, analysis, recognition, and visualization platform can be embodied in a navigation capable vehicle. The platform provides an automated tool that can integrate multi-modal sensor data including two-dimensional image data, three-dimensional image data, and motion, location, or orientation data, and create a visual representation of the integrated sensor data, in a live operational environment. An illustrative platform architecture incorporates modular domain-specific business analytics “plug ins” to provide real-time annotation of the visual representation with domain-specific markups.
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公开(公告)号：US09740963B2
公开(公告)日：2017-08-22
申请号：US14452244
申请日：2014-08-05
Applicant: SRI International
Inventor： Harpreet Singh Sawhney , Jayakrishnan Eledath , Mayank Bansal , Bogdan C. Matei , Xutao Lv , Chaitanya Desai , Timothy Shields
CPC classification number: G06K9/6255 , G06F17/30244 , G06F17/30274 , G06F17/3064 , G06K9/00684 , G06K9/6215 , G06K9/6218 , G06K9/6224 , G06K2209/25
Abstract: A computing system for realizing visual content of an image collection executes feature detection algorithms and semantic reasoning techniques on the images in the collection to elicit a number of different types of visual features of the images. The computing system indexes the visual features and provides technologies for multi-dimensional content-based clustering, searching, and iterative exploration of the image collection using the visual features and/or the visual feature indices.
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10.发明申请REAL-TIME SYSTEM FOR MULTI-MODAL 3D GEOSPATIAL MAPPING, OBJECT RECOGNITION, SCENE ANNOTATION AND ANALYTICS 有权多模式3D地球物理绘图实时系统，对象识别，场景分析与分析公开(公告)号：US20170053538A1
公开(公告)日：2017-02-23
申请号：US15344900
申请日：2016-11-07
Applicant: SRI INTERNATIONAL
Inventor： Supun Samarasekera , Raia Hadsell , Rakesh Kumar , Harpreet S. Sawhney , Bogdan C. Matei , Ryan Villamil
CPC classification number: G08G5/0069 , G01C11/02 , G01C21/32 , G01C21/3673 , G06K9/00637 , G06K9/6267 , G06K9/6293 , G06T17/05 , G06T2200/04 , G06T2207/10012 , G08G5/0004 , G08G5/003 , G08G5/0073
Abstract: A multi-sensor, multi-modal data collection, analysis, recognition, and visualization platform can be embodied in a navigation capable vehicle. The platform provides an automated tool that can integrate multi-modal sensor data including two-dimensional image data, three-dimensional image data, and motion, location, or orientation data, and create a visual representation of the integrated sensor data, in a live operational environment. An illustrative platform architecture incorporates modular domain-specific business analytics “plug ins” to provide real-time annotation of the visual representation with domain-specific markups.
Abstract translation: 多传感器，多模式数据采集，分析，识别和可视化平台可以体现在导航功能的车辆中。 该平台提供了一个自动化工具，可以集成多模态传感器数据，包括二维图像数据，三维图像数据和运动，位置或方向数据，并在现场直接创建集成传感器数据的可视化表示 操作环境。 一个说明性的平台架构包含模块化领域特定业务分析“插件”，以提供具有域特定标记的视觉表示的实时注释。
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