# US 11,906,630 B2 · LIDAR data and structural modeling based elevation determination > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,906,630 B2 - Document ID: US11906630B2 - Status: Granted - Kind: B2 - Application number: 17/874,144 - Filed: 2022-07-26 - Published: 2022-11-10 - Granted: 2024-02-20 - Earliest claimed: 2016-05-24 - Assignees: Qrisq Analytics, LLC - Applicants: Qrisq Analytics, LLC - Inventors: Thomas Lee Koger; Elizabeth Lia Valenti - Web page: https://patentgrep.com/patent/US11906630B2 ## CPC - G01S 17/894: Three-dimensional [3D] imaging with simultaneous measurement of time-of-flight at a two-dimensional [2D] array of receiver pixels, e.g. time-of-flight cameras or flash lidar - G01C 7/02: of land surfaces - G01C 15/002: {Active optical surveying means (optical plumbing G01C15/105)} - G01C 15/008: {combined with inclination sensor} - G01S 7/4808: {Evaluating distance, position or velocity data} - G01S 17/42: Simultaneous measurement of distance and other co-ordinates (indirect measurement G01S17/46) - G06F 17/00: Digital computing or data processing equipment or methods, specially adapted for specific functions (information retrieval, database structures or file system structures therefor G06F16/00) - G06F 30/10: Geometric CAD - G06F 30/13: Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads - G06F 2111/10: Numerical modelling - G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - G01C: MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY (measuring liquid level G01F; radio navigation, determining distance or velocity by use of propagation effects, e.g. Doppler effects, propagation time, of radio waves, analogous arrangements using other waves G01S) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## Abstract Systems and methods for determining elevation based on structural modeling and light detection and ranging (LIDAR) data are disclosure. LIDAR bare earth data corresponding to an area within a parcel boundary is obtained as preliminary elevation data. A basis of structure boundary is determined for a structure within the parcel boundary based on an absence of the LIDAR bare earth data within a region in the area. Three-dimensional models are generated based on photographic data, to represent portions of the structure that affect LIDAR signals. A structure boundary for the structure is determined based on the basis of structure boundary in combination with supplemental elevation data generated using the three-dimensional models. Adjacent grade values are determined based on a portion of the preliminary elevation data and supplemental elevation data corresponding to an area between the structure boundary and a buffer boundary. ## Claims ### Claim 1 A method for determining elevation based on structural modeling and light detection and ranging (LIDAR) data, comprising: determining a basis of structure boundary for a structure based, at least in part, on LIDAR data; generating one or more multi-dimensional models based, at least in part, on photographic data of the structure, the one or more multi-dimensional models representing one or more portions of the structure that occlude earth from LIDAR signals; determining a structure boundary for the structure based, at least in part, on the basis of structure boundary in combination with supplemental elevation data generated using the one or more multi-dimensional models; determining a buffer boundary based, at least in part, on the structure boundary; determining adjacent grade values based, at least in part, on a portion of the supplemental elevation data evaluated in accordance with the structure boundary and the buffer boundary; and using the adjacent grade values to obtain an estimate of insurance. ### Claim 2 (depends on 1) The method of claim 1, wherein generating the one or more multi-dimensional models is performed, at least in part, using a trained artificial intelligence engine. ### Claim 3 (depends on 1) The method of claim 1, wherein determining the adjacent grade values is further based, at least in part, on a micro digital elevation model. ### Claim 4 (depends on 1) The method of claim 1, wherein the LIDAR data is evaluated using an automatic machine examination. ### Claim 5 (depends on 1) The method of claim 1, further comprising identifying and excluding one or more outlier elevation data points within the portion of the supplemental elevation data. ### Claim 6 (depends on 1) The method of claim 1, wherein determining the adjacent grade values is further based, at least in part, on excluding one or more elevation data points that deviate substantially from an approximation of local slope. ### Claim 7 (depends on 1) The method of claim 1, wherein determining the adjacent grade values comprises determining a highest adjacent grade (HAG) value and a lowest adjacent grade (LAG) value. ### Claim 8 (depends on 7) The method of claim 7, further comprising: automatically inputting the HAG value and the LAG value into an electronic elevation certificate record associated with the structure. ### Claim 9 A non-transitory computer-readable storage medium having stored contents that, when executed by one or more processors, cause the one or more processors to perform actions comprising: determining a basis of structure boundary for a structure based, at least in part, on LIDAR data; generating one or more multi-dimensional models based, at least in part, on photographic data associated with the structure, the one or more multi-dimensional models representing one or more portions of the structure that occlude earth from LIDAR signals; determining a structure boundary for the structure based, at least in part, on the basis of structure boundary in combination with supplemental elevation data generated using the one or more multi-dimensional models; determining adjacent grade values based, at least in part, on a portion of the supplemental elevation data and the structure boundary; and applying the adjacent grade values to an estimation of insurance. ### Claim 10 (depends on 9) The computer-readable storage medium of claim 9, wherein generating the one or more multi-dimensional models is performed, at least in part, using a trained artificial intelligence engine. ### Claim 11 (depends on 9) The computer-readable storage medium of claim 9, wherein determining the adjacent grade values is further based, at least in part, on a micro digital elevation model. ### Claim 12 (depends on 9) The computer-readable storage medium of claim 9, wherein the LIDAR data is evaluated using an automatic machine examination. ### Claim 13 (depends on 9) The computer-readable storage medium of claim 9, wherein determining the adjacent grade values is further based, at least in part, on excluding one or more elevation data points that deviate substantially from an approximation of local slope. ### Claim 14 (depends on 9) The computer-readable storage medium of claim 9, wherein determining the adjacent grade values comprises determining a highest adjacent grade (HAG) value and a lowest adjacent grade (LAG) value. ### Claim 15 A system, comprising: one or more processors; and memory storing contents that, when executed by the one or more processors, cause the system to: determine a basis of structure boundary for a structure based, at least in part, on LIDAR data; generate one or more multi-dimensional models based, at least in part, on photographic data associated with the structure, the one or more multi-dimensional models representing one or more portions of the structure that occlude earth from LIDAR signals; determine a structure boundary for the structure based, at least in part, on the basis of structure boundary in combination with supplemental elevation data generated using the one or more three-dimensional models; determine adjacent grade values based, at least in part, on a portion of the supplemental elevation data and the structure boundary; and use the adjacent grade values for insurance estimation. ### Claim 16 (depends on 15) The system of claim 15, wherein generating the one or more multi-dimensional models is performed, at least in part, using a trained artificial intelligence engine. ### Claim 17 (depends on 15) The system of claim 15, wherein determining the adjacent grade values comprises developing a micro digital elevation model. ### Claim 18 (depends on 15) The system of claim 15, wherein the LIDAR data is evaluated using an automatic machine examination. ### Claim 19 (depends on 15) The system of claim 15, wherein determining the adjacent grade values is further based, at least in part, on excluding one or more elevation data points that deviate substantially from an approximation of local slope. ### Claim 20 (depends on 15) The system of claim 15, wherein determining the adjacent grade values comprises determining a highest adjacent grade (HAG) value and a lowest adjacent grade (LAG) value.