Blueowl, LLC

Quanata, LLC

Micah Wind Russo

Theobolt N Leung

Kenneth Jason Sanchez

Eric Dahl

Gareth Finucane

Blake Konrardy

Aaron Shimer

Method and system for granting in-game resources for a telematics-based game. In some examples, a computer-implemented method includes: generating, based on a character profile, one or more virtual occurrences to be encountered by a virtual character; determining, based on a plurality of virtual ratings of the virtual character, one or more outcomes associated with the one or more virtual occurrences; determining, based on a user's driving performance during one or more real trips, a first quantity of a first game resource at least for purchasing outcome-modifying items, the outcome-modifying items being exclusively purchasable using the first game resource; upon receiving the user's selection to use a first outcome-modifying item: updating the one or more outcomes according to a predetermined adjustment; and determining, based on the updated one or more outcomes, a second quantity of a second game resource at least for purchasing character cosmetic upgrades, unlocking in-game items, and unlocking regions of a virtual map.

Systems and methods for training and applying virtual occurrences and granting in-game resources to a virtual character using telematics data of one or more real trips

A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: determining a first real-world user based at least in part upon first real-world telematics data associated with the first real-world user; generating one or more first virtual experiences based at least in part upon one or more first real-world driving behaviors; generating a first virtual character; and presenting the one or more first virtual experiences in a virtual game to the first real-world user, wherein the one or more first virtual experiences include one or more first virtual obstacles to be encountered by the first virtual character in the virtual game based at least in part upon the one or more first real-world driving behaviors. Other embodiments are described.

Systems and methods for generating virtual experiences for a virtual game

A computer-implemented method for generating one or more virtual characters, the computer-implemented method including determining, by a computing device, one or more first real-world driving characteristics comprising a first real-world focus skill based at least in part upon first real-world telematics data; determining, by the computing device, one or more first virtual driving characteristics comprising a first virtual focus skill based at least in part upon the one or more first real-world driving characteristics; generating, by the computing device, a first virtual character; presenting, by the computing device, the first virtual character in a virtual game; generating, by the computing device, a second virtual character associated with one or more second virtual driving characteristics; and presenting, by the computing device, the second virtual character in a virtual game. Other embodiments are described.

Systems and methods for generating virtual characters for a game

Method and system for generating virtual maps. For example, the method includes determining first real-world driving characteristics based upon first real-world telematics data of a first real-world user, determining first real-world geolocation characteristics based upon first real-world geolocation data of the first real-world user, generating a first virtual map based upon the first real-world driving characteristics and the first real-world geolocation characteristics, presenting the first virtual map in a virtual game, determining second real-world driving characteristics based upon second real-world telematics data of a second real-world user, determining second real-world geolocation characteristics based upon second real-world geolocation data of the second real-world user, generating a second virtual map based upon the second real-world driving characteristics and the second real-world geolocation characteristics, and presenting the second virtual map in the virtual game.

Systems and methods for generating virtual maps in virtual games

Telematics systems and methods are described for generating interactive animated guided user interfaces (GUIs). A telematics cloud platform is configured to receive vehicular telematics data from a telematics device onboard a vehicle. A GUI value compression component determines, based on the vehicular telematics data, a plurality of GUI position values and a plurality of corresponding GUI time values. A geospatial animation app receives the plurality of GUI position values and the plurality of corresponding GUI time values. The geospatial animation app implements an interactive animated GUI that renders a plurality of geospatial graphics or graphical routes on a geographic area map via a display device. The geospatial graphics or graphical routes are rendered to have different visual forms based on differences between respective GUI position values and corresponding GUI time values.

Vehicular telematic systems and methods for generating interactive animated guided user interfaces

A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that cause the one or more processors to perform operations: receiving first real-world geolocation data, generating one or more first virtual encounters based at least in part upon the first real-world telematics data and the first real-world geolocation data; generating one or more second virtual encounters based at least in part upon the first real-world environmental data and the first real-world geolocation data; providing a first virtual map; providing a first virtual character associated with the first real-world user; and simulating the first virtual map and the first virtual character in a virtual game, simulating at least one of (i) the one or more first virtual encounters or (ii) the one or more second virtual encounters for the first virtual map and for the first virtual character. Other embodiments are described.

Systems and methods for generating virtual encounters in virtual games

Systems and methods of utilizing badging for driver risk assessment are provided. Vehicle telematics data (e.g., speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, seatbelt use data) associated with a vehicle operator may be analyzed. Based on the analysis, a trend of safe operation of the vehicle may be identified (e.g., based on a number of vehicle trips and/or a number of consecutive vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a frequency of vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a comparison to other drivers, etc.) A digital certificate indicating the trend of safe operation of the vehicle may be associated with the vehicle operator. In response to a third-party query regarding the vehicle operator, the digital certificate associated with the vehicle operator may be displayed to the third party.

System and method of badging for driver risk assessment

Systems and methods of visualizing predicted driving risk are provided herein. Vehicle sensor data associated with a vehicle operator may be analyzed. Based on the analysis of the vehicle sensor data, one or more vehicle operation risks associated with the vehicle operator may be predicted. Each vehicle operation risk may be associated with a portion of a vehicle associated with the vehicle operator. Additionally, each vehicle operation risk may be assigned a priority level, e.g., based on predicted likelihood of occurrence, predicted danger of the vehicle operator, predicted damage to the vehicle, etc. A display overview of the vehicle may be presented to the vehicle operator. In the display overview of the vehicle portions of the vehicle associated with each of the predicted vehicle operation risks may be highlighted. The portions may be highlighted differently (using different colors, heavier/lighter shading, etc.) based on the priority level of their associated risks.

Systems and methods for visualizing predicted driving risk

Method and system for training a virtual character of a telematics-based game. In some examples, a computer-implemented method includes: initiating a virtual trip including virtual occurrences to be encountered by the virtual character; receiving, in real-time, telematics data associated with the real trip; determining, based on the telematics data, one or more real obstacles encountered by the user during the real trip; determining, based on the telematics data, one or more performances indicative of how proficient the user operated the real vehicle upon encountering the one or more real obstacles; determining, based on the one or more performances, one or more skill points associated with a plurality of real skills; training the virtual character by at least updating, based on the plurality of skill points, the plurality of virtual ratings; updating, based on the updated plurality of virtual ratings, the one or more outcomes.

Systems and methods for training and applying virtual occurrences to a virtual character using telematics data of one or more real trips in real-time

Systems and methods of automatically controlling a user's data footprint are provided. Data associated with a user may be analyzed to determine an action the user is preparing to take. Based on the analysis, a potential risk associated with the action the user is preparing to take may be identified. The potential risk associated with the action the user is preparing to take may be, for example, a data security risk, a data privacy risk, a physical risk, a risk of damage to property, and/or a financial risk. A notification indicating the potential risk associated with the action the user is preparing to take may be provided to the user. The notification may include one or more suggestions for mitigating the potential risk associated with the action the user is preparing to take.

SAS solution to automatically control data footprint

Systems and methods of incentivizing the use of a safety device while operating a vehicle are provided. Data captured by sensors associated with a safety device may be analyzed to identify instances in which the safety device is used by an operator of a vehicle. Additionally, data captured by sensors associated with the vehicle may be analyzed to identify instances in which the vehicle is in motion. By comparing the instances in which the safety device is used by the operator of the vehicle to the instances in which the vehicle is in motion, instances in which the operator of the vehicle uses the safety device while operating the vehicle may be determined. Furthermore, a trend of the operator of the vehicle using the safety device while operating the vehicle may be identified. A notification related to the identified trend may be provided to the operator of the vehicle.

Systems and methods for incentivizing use of safety device

Method and system for updating a character profile of a virtual character of a telematics-based game. In some examples, a computer-implemented method includes: generating a virtual trip including one or more virtual occurrences with the associated one or more outcomes; presenting a trip success prediction, a predicted change in vehicle condition, a first user-selectable command, and a second user-selectable command to the user; upon receiving the user's selection of the first user-selectable command, updating the character profile by at least initiating the virtual trip with the virtual character; upon receiving the user's selection of the second user-selectable command: updating the one or more outcomes according to a predetermined adjustment; and updating the character profile by at least initiating the virtual trip with the virtual character based on the updated one or more outcomes.

Systems and methods for training and applying virtual occurrences with modifiable outcomes to a virtual character using telematics data of one or more real trips

Systems and methods for providing continuous safe-driver training safely are provided. A safe-driving challenge may be presented to an operator of a vehicle. Data captured by sensors associated with the vehicle may be analyzed to determine whether the operator of the vehicle has completed the safe-driving challenge. Based on a determination that the operator of the vehicle has completed the safe-driving challenge, a notification may be provided to the operator (e.g., indicating to the operator that he or she has successfully completed the challenge). A processor may randomly select whether a reward is to be provided to the operator of the vehicle based on the determination that the operator of the vehicle has completed the safe-driving challenge. Moreover, if a reward is to be provided to the operator of the vehicle, a processor may randomly select a type of reward to be provided to the operator of the vehicle.

System and method for low-level continuous driver training

Systems and methods for reducing vehicle collisions based on driver risk groups are provided. A plurality of vehicle operators may be classified into a driver risk group based on one or more attributes (e.g., location, workplace, school, demographic, hobby, interest, etc.) shared by the plurality of vehicle operators. Vehicle sensor data (e.g., speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, seatbelt use data, etc.) associated with each of the plurality of vehicle operators of the driver risk group may be analyzed. Based on the analysis of the vehicle sensor data, one or more indicia of safe driving behavior associated with the driver risk group may be identified. In response to a third-party query regarding a vehicle operator in the driver risk group, an indication of the safe driving behavior associated with the driver risk group may be provided to the third party.

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Oakland, CA, United States of America

Micah Wind Russo