	US 12,307,598 B2
	System and method for generating simulated scenes from open map data for machine learning
Venkata Subbarao Veeravarasapu, Munich (DE); and Maneesh Kumar Singh, Lawrenceville, NJ (US)
Assigned to Insurance Services Office, Inc., Jersey City, NJ (US)
Filed by Insurance Services Office, Inc., Jersey City, NJ (US)
Filed on Jun. 11, 2019, as Appl. No. 16/437,401.
Claims priority of provisional application 62/683,184, filed on Jun. 11, 2018.
Prior Publication US 2019/0377981 A1, Dec. 12, 2019
Int. Cl. G06T 17/20 (2006.01); G06F 18/214 (2023.01); G06F 18/40 (2023.01); G06T 15/04 (2011.01); G06T 15/20 (2011.01); G06T 17/05 (2011.01); G06V 30/262 (2022.01)

CPC G06T 17/20 (2013.01) [G06F 18/2148 (2023.01); G06F 18/40 (2023.01); G06T 15/04 (2013.01); G06T 15/20 (2013.01); G06T 17/05 (2013.01); G06V 30/274 (2022.01); G06T 2210/12 (2013.01)]

25 Claims

1. A system for generating a simulated scene from open map data for training a machine learning system, comprising:

a simulation computer system;

means for receiving open map data;

means for receiving texture map data; and

a scene generation software engine executed by the simulation computer system, the scene generation software engine causing the simulation computer system to:

generate a three-dimensional (3D) scene layout using the open map data and the texture map data;

capture the scene layout from a plurality of different camera view points; and

generate machine learning training data using the captured scene layout.