A drift method for a virtual vehicle in a virtual world is disclosed, including: receiving an operation start event with respect to a target interaction control that is provided on a user interface of an application while a virtual vehicle in a virtual world in the application is in a normal traveling state; controlling, according to the operation start event, the virtual vehicle to enter a drift state in the virtual world; and after an operation end event with respect to the target interaction control is received, controlling the virtual vehicle to remain in the drift state based on an angle between a vehicle head direction and a traveling direction being greater than or equal to a first threshold.

An approach for identifying training data to exclude from being sent to an AI system from a simulation based on the confidence level that the simulation produced accurate data is disclosed. The approach can generate simulation data to include conditions from historical data captured in the physical world and utilize responses from the physical world as a benchmark. The approach can compare similar simulation and benchmark responses to generate a confidence level for the simulation data and exclude data with low level of confidence from flowing to the AI system training.

Method and system for training a virtual character of a telematics-based game. In some examples, a computer-implemented method includes: determining, based at least in part upon telematics data, a plurality of skill points associated with a plurality of real skills exhibited by the user during the one or more real trips; training a virtual character by at least updating, based at least in part upon the plurality of skill points, the plurality of virtual ratings; generating, based at least in part upon the character profile, one or more virtual occurrences to be encountered by the virtual character; determining, based at least in part upon the updated plurality of virtual ratings, one or more outcomes associated with the one or more virtual occurrences; updating the character profile by at least applying the one or more virtual occurrences based on the associated one or more outcomes to the virtual character.

The present invention provides a drone-passing multiple detection sensor gate comprising: a gate having a ring-like structure through which a drone can pass during flight; a first sensor, disposed on the front or the inner front of the gate, for detecting whether the drone approaches the gate or passes through the front side of the gate; a second sensor, disposed on the inner rear of the gate, for detecting whether the drone sensed by the first sensor passes through the rear side of the gate; a detection signal transmitter, disposed inside or on a surface of the gate, for receiving, from the first sensor and the second sensor, the detection signal indicating whether the drone approaches or passes through the gate, and wirelessly transmitting the detection signal. In addition, the present invention provides a drone game system using a multiple detection sensor gate.

Dynamic driving aides, such as driving lines, turn indicators, braking indicators and acceleration indicators, for example, can be provided for players participating in a racing game. Typically, driving lines are provided for each class of cars. However, even within a class of cars, each car differs enough that the ideal driving lines and breaking points can vary. Therefore, with an agent trained via reinforcement learning, an ideal lines and other driving aides can be established for every individual car. These guides can even be varied to account for variations in the weather or other track conditions.

Techniques are described herein for presenting an extended environment based on real data obtained from a real-world environment. The techniques include pairing an XR capable user device and an onboard diagnostics (OBD) accessory device. Upon pairing, the XR capable user device receives vehicle data of a vehicle equipped with the OBD accessory device in a real-world environment. Based at least on the vehicle data, a virtual location and a virtual position of a user in an extended environment are determined, wherein the user operates the XR capable user device in the real-world environment represented in the extended environment. Upon determining the virtual location and the virtual position, the extended environment is presented via the XR capable user device.

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.

An automotive competition method for having at least a first real road vehicle and a second virtual road vehicle race with each other; the method comprises the steps of: defining a virtual space, comprising a virtual track, on which a virtual projection of the first road vehicle and the second road vehicle race together; moving the virtual projection of the first road vehicle in the virtual space according to actions imparted by a driver to the first road vehicle; transmitting to the driver data related to the movement of the second road vehicle in the virtual space by means of an interface device indicating at least the position on the virtual track of the second road vehicle with respect to the position of the projection of the first road vehicle on the virtual track.

In a method of enabling an assist function, the assist function is enabled based on an execution history of a second operation that is to be performed by a virtual object in a virtual environment after a first operation is performed by the virtual object. The assist function is configured to automatically perform the second operation after the first operation. A first user input to perform the first operation by the virtual object is received. The second operation is automatically performed by the virtual object after the first operation is performed by the virtual object based on the assist function being enabled.

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.