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公开(公告)号:US11935288B2
公开(公告)日:2024-03-19
申请号:US17567347
申请日:2022-01-03
Applicant: Pointivo Inc.
Inventor: Iven Connary , Guy Ettinger , Habib Fathi , Jacob Garland , Daniel Ciprari
CPC classification number: G06V20/176 , G05D1/0016 , G05D1/0044 , G05D1/101 , G06V20/10
Abstract: The systems and methods herein provide improved methodologies for visualization on a user's display of sensor data (e.g., 2D and 3D information obtained from or derived from sensors) for objects, components, or features of interest in a scene. The previously acquired sensor data is processable for concurrent display of objects/features/scene or location visualizations to a user during their real-time navigation of a scene camera during a variety of user visualization activities. Sensor data can be acquired via the operation of vehicles configured with one or more sensors, such as unmanned aerial vehicles, or from other methodologies, or from any other suitable sensor data acquisition activities. Objects etc. for which acquired sensor data can be visualized by a user on a display includes buildings, parts of buildings, and infrastructure elements, among other things. The improved display of information to a user for visualization and information generation therefrom provides significant benefits over prior art display methodologies and exhibits notable utility for user activities such as, inspection, condition assessment, performance assessment, insurance applications, construction, inventorying, building information modeling, asset management and the like. Information derivable from the methodologies herein can be used for machine learning libraries and digital twin processes.
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公开(公告)号:US20240355117A1
公开(公告)日:2024-10-24
申请号:US18439310
申请日:2024-02-12
Applicant: Pointivo Inc.
Inventor: Iven Connary , Guy Ettinger , Habib Fathi , Jacob Garland , Daniel Ciprari
CPC classification number: G06V20/176 , G05D1/223 , G05D1/225 , G06V20/10
Abstract: The systems and methods herein provide improved methodologies for visualization on a user's display of sensor data (e.g., 2D and 3D information obtained/derived from sensors) for objects, components, or features of interest in a scene. Previously acquired sensor data is processable for concurrent display of objects/features/scene or location visualizations during real-time navigation of a scene camera during user visualization activities. Sensor data can be acquired via the operation of vehicles, or from other methodologies, or from any other suitable sensor data acquisition activities, etc. for which acquired sensor data can be visualized. The improved display of information provides significant benefits over prior art display methodologies and exhibits notable utility for user activities such as, inspection, condition assessment, performance assessment, insurance applications, construction, inventorying, building information modeling, asset management and the like. Information derivable from the methodologies herein can be used for machine learning libraries and digital twin processes.
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公开(公告)号:US20220130145A1
公开(公告)日:2022-04-28
申请号:US17567347
申请日:2022-01-03
Applicant: Pointivo Inc.
Inventor: Iven Connary , Guy Ettinger , Habib Fathi , Jacob Garland , Daniel Ciprari
Abstract: The systems and methods herein provide improved methodologies for visualization on a user's display of sensor data (e.g., 2D and 3D information obtained from or derived from sensors) for objects, components, or features of interest in a scene. The previously acquired sensor data is processable for concurrent display of objects/features/scene or location visualizations to a user during their real-time navigation of a scene camera during a variety of user visualization activities. Sensor data can be acquired via the operation of vehicles configured with one or more sensors, such as unmanned aerial vehicles, or from other methodologies, or from any other suitable sensor data acquisition activities. Objects etc. for which acquired sensor data can be visualized by a user on a display includes buildings, parts of buildings, and infrastructure elements, among other things. The improved display of information to a user for visualization and information generation therefrom provides significant benefits over prior art display methodologies and exhibits notable utility for user activities such as, inspection, condition assessment, performance assessment, insurance applications, construction, inventorying, building information modeling, asset management and the like. Information derivable from the methodologies herein can be used for machine learning libraries and digital twin processes.
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