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公开(公告)号：US20210295596A1
公开(公告)日：2021-09-23
申请号：US17335559
申请日：2021-06-01
Applicant: Aurora Solar Inc.
Inventor： Christopher Hopper , Matthew Stevens
Abstract: Described herein is a process and system for constructing three-dimensional (3D) representations of roof structures. The system can create representations of roof structures of arbitrary complexity and can create representations of dependent roof structures such as dormers. The system can create representations of roof structures that conventional methods cannot create, such as roofs with edges that are not coplanar, roofs with faces that do not connect to exterior edges, roofs composed of sub-structures, or roofs with dependent structures such as dormers.
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公开(公告)号：US20190051043A1
公开(公告)日：2019-02-14
申请号：US16101448
申请日：2018-08-11
Applicant: Aurora Solar Inc.
Inventor： Christopher Hopper , Matthew Stevens
CPC classification number: G06T17/05 , G06T15/005 , G06T17/20 , G06T19/20 , G06T2219/2021
Abstract: Described herein is a process and system for constructing three-dimensional (3D) representations of buildings. The 3D representations of buildings are semantic models that include roof nodes, roof edges, as well as roof faces with associated properties (e.g., pitch, azimuth). The system receives a 2D representation such as a roof outline including nodes connected by edges and associated data such as a height value, a pitch value, an independent structure, or a dependent structure. The system determines height values where a building structure changes. The system propagates a wavefront representing a cross-section of the building to the height values to generate 3D model edges. The 3D representation is generated based on the 3D model edges. The system can create 3D representations of buildings including roof structures of arbitrary complexity and can create representations of dependent roof structures such as dormers.
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公开(公告)号：US11830137B2
公开(公告)日：2023-11-28
申请号：US17187685
申请日：2021-02-26
Applicant: Aurora Solar Inc.
Inventor： Matthew John Stevens , Ganesh Nunnagoppula , Maxwell Siegelman , Adriel Anhao Luo
CPC classification number: G06T17/10 , G06N3/08 , G06T3/0081 , G06T7/10 , G06T7/35 , G06T17/20 , G06V20/176 , G06T2207/10032 , G06T2210/22
Abstract: Automated three-dimensional (3D) building model estimation is disclosed. In an embodiment, a method comprises: obtaining, using one or more processors, an aerial image of a building based on an input address; obtaining, using the one or more processors, three-dimensional (3D) data containing the building based on the input address; pre-processing the aerial image and 3D data; reconstructing, using the one or more processors, a 3D building model from the pre-processed image and 3D data, the reconstructing including: predicting, using instance segmentation, a mask for each roof face; converting each roof face into a two-dimensional (2D) polygon; and projecting each 2D polygon into a 3D polygon representing the 3D building model.
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公开(公告)号：US20210272358A1
公开(公告)日：2021-09-02
申请号：US17187685
申请日：2021-02-26
Applicant: Aurora Solar Inc.
Inventor： Matthew John Stevens , Ganesh Nunnagoppula , Maxwell Siegelman , Adriel Anhao Luo
Abstract: Automated three-dimensional (3D) building model estimation is disclosed. In an embodiment, a method comprises: obtaining, using one or more processors, an aerial image of a building based on an input address; obtaining, using the one or more processors, three-dimensional (3D) data containing the building based on the input address; pre-processing the aerial image and 3D data; reconstructing, using the one or more processors, a 3D building model from the pre-processed image and 3D data, the reconstructing including: predicting, using instance segmentation, a mask for each roof face; converting each roof face into a two-dimensional (2D) polygon; and projecting each 2D polygon into a 3D polygon representing the 3D building model.
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公开(公告)号：US20200219313A9
公开(公告)日：2020-07-09
申请号：US16101448
申请日：2018-08-11
Applicant: Aurora Solar Inc.
Inventor： Christopher Hopper , Matthew Stevens
Abstract: Described herein is a process and system for constructing three-dimensional (3D) representations of buildings. The 3D representations of buildings are semantic models that include roof nodes, roof edges, as well as roof faces with associated properties (e.g., pitch, azimuth). The system receives a 2D representation such as a roof outline including nodes connected by edges and associated data such as a height value, a pitch value, an independent structure, or a dependent structure. The system determines height values where a building structure changes. The system propagates a wavefront representing a cross-section of the building to the height values to generate 3D model edges. The 3D representation is generated based on the 3D model edges. The system can create 3D representations of buildings including roof structures of arbitrary complexity and can create representations of dependent roof structures such as dormers.
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Patent Agency Ranking
公开(公告)号：US20250037371A1
公开(公告)日：2025-01-30
申请号：US18911543
申请日：2024-10-10
Applicant: Aurora Solar Inc.
Inventor： Christopher Hopper , Matthew Stevens
Abstract: Described herein is a process and system for constructing three-dimensional (3D) representations of roof structures. The system can create representations of roof structures of arbitrary complexity and can create representations of dependent roof structures such as dormers. The system can create representations of roof structures that conventional methods cannot create, such as roofs with edges that are not coplanar, roofs with faces that do not connect to exterior edges, roofs composed of sub-structures, or roofs with dependent structures such as dormers.
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公开(公告)号：US20240070982A1
公开(公告)日：2024-02-29
申请号：US18503976
申请日：2023-11-07
Applicant: Aurora Solar Inc.
Inventor： Christopher Hopper , Matthew Stevens
CPC classification number: G06T17/05 , G06T15/005 , G06T17/20 , G06T19/20 , G06T2219/2021
Abstract: Described herein is a process and system for constructing three-dimensional (3D) representations of roof structures. The system can create representations of roof structures of arbitrary complexity and can create representations of dependent roof structures such as dormers. The system can create representations of roof structures that conventional methods cannot create, such as roofs with edges that are not coplanar, roofs with faces that do not connect to exterior edges, roofs composed of sub-structures, or roofs with dependent structures such as dormers.
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公开(公告)号：US11816794B2
公开(公告)日：2023-11-14
申请号：US17986563
申请日：2022-11-14
Applicant: Aurora Solar Inc.
Inventor： Christopher Hopper , Matthew Stevens
CPC classification number: G06T17/05 , G06T15/005 , G06T17/20 , G06T19/20 , G06T2219/2021
Abstract: Described herein is a process and system for constructing three-dimensional (3D) representations of roof structures. The system can create representations of roof structures of arbitrary complexity and can create representations of dependent roof structures such as dormers. The system can create representations of roof structures that conventional methods cannot create, such as roofs with edges that are not coplanar, roofs with faces that do not connect to exterior edges, roofs composed of sub-structures, or roofs with dependent structures such as dormers.
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公开(公告)号：US20230075957A1
公开(公告)日：2023-03-09
申请号：US17986563
申请日：2022-11-14
Applicant: Aurora Solar Inc.
Inventor： Christopher Hopper , Matthew Stevens
Abstract: Described herein is a process and system for constructing three-dimensional (3D) representations of roof structures. The system can create representations of roof structures of arbitrary complexity and can create representations of dependent roof structures such as dormers. The system can create representations of roof structures that conventional methods cannot create, such as roofs with edges that are not coplanar, roofs with faces that do not connect to exterior edges, roofs composed of sub-structures, or roofs with dependent structures such as dormers.
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公开(公告)号：US20220215622A1
公开(公告)日：2022-07-07
申请号：US17702723
申请日：2022-03-23
Applicant: Aurora Solar Inc.
Inventor： Matthew John Stevens , Haoxin Ma , Maxwell Siegelman , Adriel Anhao Luo
Abstract: Automated three-dimensional (3D) building model estimation is disclosed that predicts roof top outlines, pitches and heights based on imagery and 3D data. In an embodiment, a method comprises: obtaining an aerial image of a building based on an input address; obtaining three-dimensional (3D) data containing the building based on the input address; pre-processing the aerial image and 3D data; reconstructing a 3D building model from the pre-processed image and 3D data, the reconstructing including: predicting, using instance segmentation, a mask for each roof component of the building; predicting, using a first machine learning model with the mask as input, an outline for each roof component; predicting, using a second machine learning mode with the mask and outline as input, a pitch and height of each roof component; and rendering the 3D building model based on the predicted outline, pitch and height of each roof component.
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