US 12,282,893 B2
Systems and methods for a 3D model for visualization of landscape design
Nicholas Carmelo Marotta, Scottsdale, AZ (US); Laura Kennedy, Gilbert, AZ (US); and JD Johnson Willingham, Phoenix, AZ (US)
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed by STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed on Dec. 27, 2023, as Appl. No. 18/397,000.
Application 18/397,000 is a continuation of application No. 17/241,008, filed on Apr. 26, 2021, granted, now 11,900,535.
Claims priority of provisional application 63/027,201, filed on May 19, 2020.
Claims priority of provisional application 63/025,600, filed on May 15, 2020.
Claims priority of provisional application 63/016,168, filed on Apr. 27, 2020.
Prior Publication US 2024/0185601 A1, Jun. 6, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/00 (2023.01); B64C 39/02 (2023.01); G01C 21/20 (2006.01); G01C 21/34 (2006.01); G01S 7/48 (2006.01); G01S 7/51 (2006.01); G01S 17/06 (2006.01); G01S 17/89 (2020.01); G01S 17/894 (2020.01); G02B 27/01 (2006.01); G06Q 10/087 (2023.01); G06Q 20/08 (2012.01); G06Q 20/12 (2012.01); G06Q 30/0601 (2023.01); G06T 7/73 (2017.01); G06T 17/00 (2006.01); G06T 17/05 (2011.01); G06T 19/00 (2011.01); G06T 19/20 (2011.01); G06V 20/20 (2022.01); B64U 101/30 (2023.01); G06F 16/29 (2019.01); G06F 30/13 (2020.01); G06N 3/049 (2023.01); G06N 3/08 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06T 7/90 (2017.01); H04W 84/18 (2009.01)
CPC G06Q 10/087 (2013.01) [B64C 39/024 (2013.01); G01C 21/206 (2013.01); G01C 21/343 (2013.01); G01C 21/3446 (2013.01); G01S 7/4808 (2013.01); G01S 7/51 (2013.01); G01S 17/06 (2013.01); G01S 17/89 (2013.01); G01S 17/894 (2020.01); G02B 27/0172 (2013.01); G06Q 20/085 (2013.01); G06Q 20/12 (2013.01); G06Q 30/0633 (2013.01); G06Q 30/0639 (2013.01); G06T 7/75 (2017.01); G06T 17/00 (2013.01); G06T 17/05 (2013.01); G06T 19/003 (2013.01); G06T 19/006 (2013.01); G06T 19/20 (2013.01); G06V 20/20 (2022.01); B64U 2101/30 (2023.01); G02B 2027/0138 (2013.01); G02B 2027/014 (2013.01); G02B 2027/0178 (2013.01); G06F 16/29 (2019.01); G06F 30/13 (2020.01); G06N 3/049 (2013.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0601 (2013.01); G06T 7/90 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/10044 (2013.01); G06T 2207/30184 (2013.01); G06T 2219/2012 (2013.01); H04W 84/18 (2013.01)] 20 Claims
OG exemplary drawing
 
1. 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;
displaying a representation of the 3D model;
receiving object data from a user; 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.