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公开(公告)号：US20210142530A1
公开(公告)日：2021-05-13
申请号：US17157065
申请日：2021-01-25
Applicant: SRI International
Inventor： Supun Samarasekera , Taragay Oskiper , Rakesh Kumar , Mikhail Sizintsev , Vlad Branzoi
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.
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公开(公告)号：US20190114507A1
公开(公告)日：2019-04-18
申请号：US16163273
申请日：2018-10-17
Applicant: SRI International
Inventor： Han-Pang Chiu , Supun Samarasekera , Rakesh Kumar , Varun Murali
Abstract: Techniques are disclosed for improving navigation accuracy for a mobile platform. In one example, a navigation system comprises an image sensor that generates a plurality of images, each image comprising one or more features. A computation engine executing on one or more processors of the navigation system processes each image of the plurality of images to determine a semantic class of each feature of the one or more features of the image. The computation engine determines, for each feature of the one or more features of each image and based on the semantic class of the feature, whether to include the feature as a constraint in a navigation inference engine. The computation engine generates, based at least on features of the one or more features included as constraints in the navigation inference engine, navigation information. The computation engine outputs the navigation information to improve navigation accuracy for the mobile platform.
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公开(公告)号：US20190051056A1
公开(公告)日：2019-02-14
申请号：US16101201
申请日：2018-08-10
Applicant: SRI International
Inventor： Han-Pang Chiu , Supun Samarasekera , Rakesh Kumar , Ryan Villamil , Varun Murali , Gregory Drew Kessler
Abstract: Techniques for augmenting a reality captured by an image capture device are disclosed. In one example, a system includes an image capture device that generates a two-dimensional frame at a local pose. The system further includes a computation engine executing on one or more processors that queries, based on an estimated pose prior, a reference database of three-dimensional mapping information to obtain an estimated view of the three-dimensional mapping information at the estimated pose prior. The computation engine processes the estimated view at the estimated pose prior to generate semantically segmented sub-views of the estimated view. The computation engine correlates, based on at least one of the semantically segmented sub-views of the estimated view, the estimated view to the two-dimensional frame. Based on the correlation, the computation engine generates and outputs data for augmenting a reality represented in at least one frame captured by the image capture device.
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14.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：US20150268058A1
公开(公告)日：2015-09-24
申请号：US14575472
申请日：2014-12-18
Applicant: SRI International
Inventor： Supun Samarasekera , Raia Hadsell , Rakesh Kumar , Harpreet S. Sawhney , Bogdan C. Matei , Ryan Villamil
IPC: G01C21/36
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：US20240403649A1
公开(公告)日：2024-12-05
申请号：US18520800
申请日：2023-11-28
Applicant: SRI International
Inventor： Han-Pang Chiu , Yi Yao , Zachary Seymour , Alex Krasner , Bradley J. Clymer , Michael A. Cogswell , Cecile Eliane Jeannine Mackay , Alex C. Tozzo , Tixiao Shan , Philip Miller , Chuanyong Gan , Glenn A. Murray , Richard Louis Ferranti , Uma Rajendran , Supun Samarasekera , Rakesh Kumar , James Smith
IPC: G06N3/0895
Abstract: In an example, a system includes processing circuitry in communication with storage media. The processing circuitry is configured to execute a machine learning system including at least a first module, a second module and a third module. The machine learning system is configured to train one or more machine learning models. The first module is configured to generate augmented input data based on the streaming input data. The second module includes a machine learning model configured to perform a specific task based at least in part on the augmented input data. The third module configured to adapt a network architecture of the one or more machine learning models based on changes in the streaming input data.
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Patent Agency Ranking
公开(公告)号：US10991156B2
公开(公告)日：2021-04-27
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：US10929713B2
公开(公告)日：2021-02-23
申请号：US16163273
申请日：2018-10-17
Applicant: SRI International
Inventor： Han-Pang Chiu , Supun Samarasekera , Rakesh Kumar , Varun Murali
Abstract: Techniques are disclosed for improving navigation accuracy for a mobile platform. In one example, a navigation system comprises an image sensor that generates a plurality of images, each image comprising one or more features. A computation engine executing on one or more processors of the navigation system processes each image of the plurality of images to determine a semantic class of each feature of the one or more features of the image. The computation engine determines, for each feature of the one or more features of each image and based on the semantic class of the feature, whether to include the feature as a constraint in a navigation inference engine. The computation engine generates, based at least on features of the one or more features included as constraints in the navigation inference engine, navigation information. The computation engine outputs the navigation information to improve navigation accuracy for the mobile platform.
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公开(公告)号：US10573037B2
公开(公告)日：2020-02-25
申请号：US13721276
申请日：2012-12-20
Applicant: SRI International
Inventor： Rakesh Kumar , Supun Samarasekera , Girish Acharya , Michael John Wolverton , Necip Fazil Ayan , Zhiwei Zhu , Ryan Villamil
Abstract: A method and apparatus for training and guiding users comprising generating a scene understanding based on video and audio input of a scene of a user performing a task in the scene, correlating the scene understanding with a knowledge base to produce a task understanding, comprising one or more goals, of a current activity of the user, reasoning, based on the task understanding and a user's current state, a next step for advancing the user towards completing one of the one or more goals of the task understanding and overlaying the scene with an augmented reality view comprising one or more visual and audio representation of the next step to the user.
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公开(公告)号：US09892563B2
公开(公告)日：2018-02-13
申请号：US15465530
申请日：2017-03-21
Applicant: SRI International
Inventor： Rakesh Kumar , Taragay Oskiper , Oleg Naroditsky , Supun Samarasekera , Zhiwei Zhu , Janet Yonga Kim Knowles
IPC: G09G5/00 , G06T19/00 , G06F3/01 , G06F3/0346
CPC classification number: G06T19/006 , G06F3/012 , G06F3/0346
Abstract: A system and method for generating a mixed-reality environment is provided. The system and method provides a user-worn sub-system communicatively connected to a synthetic object computer module. The user-worn sub-system may utilize a plurality of user-worn sensors to capture and process data regarding a user's pose and location. The synthetic object computer module may generate and provide to the user-worn sub-system synthetic objects based information defining a user's real world life scene or environment indicating a user's pose and location. The synthetic objects may then be rendered on a user-worn display, thereby inserting the synthetic objects into a user's field of view. Rendering the synthetic objects on the user-worn display creates the virtual effect for the user that the synthetic objects are present in the real world.
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20.发明授权公开(公告)号：US09488492B2
公开(公告)日：2016-11-08
申请号：US14575472
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.
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