US 12,290,751 B2
Systems and methods for generating virtual maps in virtual games
Kenneth Jason Sanchez, San Francisco, CA (US); and Micah Wind Russo, Oakland, CA (US)
Assigned to QUANATA, LLC, San Francisco, CA (US)
Filed by BlueOwl, LLC, San Francisco, CA (US)
Filed on Aug. 17, 2021, as Appl. No. 17/404,158.
Prior Publication US 2023/0057816 A1, Feb. 23, 2023
Int. Cl. A63F 13/65 (2014.01); A63F 13/5378 (2014.01)
CPC A63F 13/65 (2014.09) [A63F 13/5378 (2014.09); A63F 2300/69 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for generating one or more virtual maps in one or more virtual games, the computer-implemented method comprising:
receiving, by a computing device, (i) first real-world telematics data from one or more sensors of a first electronic device connected to a first vehicle and (ii) first real-world geolocation data associated with one or more prior first real-world vehicle trips made by a first real-world user;
determining, by the computing device and using a trained deep-learning model, one or more first real-world driving characteristics based at least in part upon first recognizable patterns of the first real-world telematics data;
determining, by the computing device, one or more first real-world geolocation characteristics based at least in part upon the first real-world geolocation data;
generating, by the computing device, a first virtual map based at least in part upon the one or more first real-world driving characteristics and the one or more first real-world geolocation characteristics, the first virtual map being generated for a first virtual character associated with the first real-world user;
presenting, by the computing device through a user interface of the first electronic device, at least the first virtual map in a virtual game;
receiving, by the computing device, (i) second real-world telematics data from one or more sensors of a second electronic device connected to a second vehicle, and (ii) second real-world geolocation data associated with one or more prior second real-world vehicle trips made by a second real-world user;
determining, by the computing device and using the trained deep-learning model, one or more second real-world driving characteristics based at least in part upon second recognizable patterns of the second real-world telematics data;
determining, by the computing device, one or more second real-world geolocation characteristics based at least in part upon the second real-world geolocation data;
generating, by the computing device, a second virtual map based at least in part upon the one or more second real-world driving characteristics and the one or more second real-world geolocation characteristics, the second virtual map being generated for a second virtual character associated with the second real-world user; and
presenting, by the computing device through a user interface of the second electronic device, at least the second virtual map in the virtual game;
wherein:
the first virtual map and the second virtual map are generated to be different in response to the one or more first real-world driving characteristics, the one or more second real-world driving characteristics, the one or more first real-world geolocation characteristics, and the one or more second real-world geolocation characteristics; and
the first virtual map and the second virtual map are presented at a same time in a same virtual game played by the first real user or the second real user.