Invention Grant
- Patent Title: Use of a convolutional neural network to auto-determine a floor height and floor height elevation of a building
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Application No.: US16864342Application Date: 2020-05-01
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Publication No.: US11555701B2Publication Date: 2023-01-17
- Inventor: Wei Du , David Frederick Smith , Taylor Bryant Brown
- Applicant: CORELOGIC SOLUTIONS, LLC
- Applicant Address: US CA Irvine
- Assignee: CORELOGIC SOLUTIONS, LLC
- Current Assignee: CORELOGIC SOLUTIONS, LLC
- Current Assignee Address: US CA Irvine
- Agency: Xsensus LLP
- Main IPC: G01C15/00
- IPC: G01C15/00 ; G01C5/00 ; G06N3/04 ; G06V20/20
Abstract:
A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.
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