Systems and methods for a 3D model for visualization of landscape design
AssigneeState Farm Mutual Automobile Insurance Company
InventorsNicholas Carmelo Marotta, Laura Kennedy, J D Johnson Willingham
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Abstract
The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures a plurality of dimensions of a landscape based upon processor analysis of the LIDAR data; builds a 3D model of the landscape based upon the measured plurality of dimensions, the 3D model including: (i) a structure, and (ii) a vegetation; and displays a representation of the 3D model.
Claims19
A computer-implemented method for visualization of landscape design, the method comprising, via one or more processors, sensors, servers, and/or transceivers:
- receiving light detection and ranging (LIDAR) data generated from a LIDAR camera;
- measuring a plurality of dimensions of a landscape based upon processor analysis of the LIDAR data;
- building a 3D model of the landscape based upon the measured plurality of dimensions, the 3D model including:
- (i) a structure, and (ii) a vegetation;
- displaying a representation of the 3D model;
- receiving object data from a user, wherein the object comprises one of:
- a patio;
- a shed;
- a garage;
- a fence;
- a tree;
- a flower;
- or a pathway;
- and
- inputting, into a machine learning algorithm:
- (i) data of the 3D model of the landscape, and (ii) the received object data to generate a recommendation for placement of the object in the landscape;
- wherein the machine learning algorithm is trained based upon preexisting data of object placement in landscapes.
A computer system configured for visualization of landscape design, the computer system comprising one or more processors, sensors, servers, and/or transceivers configured to:
- receive light detection and ranging (LIDAR) data generated from a LIDAR camera;
- measure a plurality of dimensions of a landscape based upon processor analysis of the LIDAR data;
- build a 3D model of the landscape based upon the measured plurality of dimensions, the 3D model including:
- (i) a structure, and (ii) a vegetation;
- display a representation of the 3D model;
- receive object data from a user, wherein the object comprises one of:
- a patio;
- a shed;
- a garage;
- a fence;
- a tree;
- a flower;
- or a pathway;
- and
- input, into a machine learning algorithm:
- (i) data of the 3D model of the landscape, and (ii) the received object data to generate a recommendation for placement of the object in the landscape;
- wherein the machine learning algorithm is trained based upon preexisting data of object placement in landscapes.
A computer system configured for visualization of landscape design, comprising:
- one or more processors;
- and
- a program memory coupled to the one or more processors and storing executable instructions that when executed by the one or more processors cause the computer system to:
- receive light detection and ranging (LIDAR) data generated from a LIDAR camera;
- measure a plurality of dimensions of a landscape based upon processor analysis of the LIDAR data;
- build a 3D model of the landscape based upon the measured plurality of dimensions, the 3D model including:
- (i) a structure, and (ii) a vegetation;
- display a representation of the 3D model;
- receive object data from a user, wherein the object comprises one of:
- a patio;
- a shed;
- a garage;
- a fence;
- a tree;
- a flower;
- or a pathway;
- and
- input, into a machine learning algorithm:
- (i) data of the 3D model of the landscape, and (ii) the received object data to generate a recommendation for placement of the object in the landscape;
- wherein the machine learning algorithm is trained based upon preexisting data of object placement in landscapes.
Dependencies are inferred from the claim text.