The present invention relates to the field of race circuits and provides a racing circuit layout comprising: an interconnection between track sections of the racing circuit layout, the interconnection comprising one or a combination of: at least one crossover; at least two link sections, and, at least one barrier or traffic control mechanism operably associated with the crossovers or the at least two link sections, wherein the at least one barrier or traffic control mechanism is adapted to selectively configure the interconnection so as to provide multiple notional track sections in which combinations thereof form a set of unique racing circuits traversing the track sections and the interconnection.

The present invention relates to the field of race circuits and provides a racing circuit layout comprising: an interconnection between track sections of the racing circuit layout, the interconnection comprising one or a combination of: at least one crossover; at least two link sections, and, at least one barrier or traffic control mechanism operably associated with the crossovers or the at least two link sections, wherein the at least one barrier or traffic control mechanism is adapted to selectively configure the interconnection so as to provide multiple notional track sections in which combinations thereof form a set of unique racing circuits traversing the track sections and the interconnection.

A system and method of competitively gaming in a mixed reality with multiple players provides a facility in which various types of drone/RC vehicle, including, but not limited to, quadcopters, submarines, tanks, radio-controlled vehicles, and more, may be stored, maintained, and deployed. Appropriate environments are provided and changed in order to provide variety to the gamers. Users enter a pod equipped with virtual reality headgear and several controls befitting the drone/RC vehicle type or game type being played. The virtual reality headgear enables users to control the drone/RC vehicle from a first-person perspective, utilizing cameras strategically dispersed throughout the drone/RC vehicle. Between uses, drones/RC vehicles are sent through automated maintenance, which allows for standard maintenance for functional units and automated part replacement as needed for damaged units. The automated maintenance allows for continuous play, as opposed to single unit aerial drone racing, in which drones generally require maintenance between uses.

Methods for providing track condition information include receiving, at a first mobile track control station, a track condition notification. Such methods further include transmitting, from the first mobile track control station to a second mobile track control station in a network of mobile track control stations, the track condition notification. Such methods further include receiving, at the first mobile track control station from a third mobile track control station, affected track sector data regarding an affected track sector. Such methods further include transmitting, from the first mobile track control station to a first mobile track information station within a first vehicle, the affected track sector data, wherein the affected track sector data is configured to be used by the first mobile track information station to determine whether the first vehicle is within the affected track sector.

Methods for providing track condition information include receiving, at a first mobile track control station, a track condition notification. Such methods further include transmitting, from the first mobile track control station to a second mobile track control station in a network of mobile track control stations, the track condition notification. Such methods further include receiving, at the first mobile track control station from a third mobile track control station, affected track sector data regarding an affected track sector. Such methods further include transmitting, from the first mobile track control station to a first mobile track information station within a first vehicle, the affected track sector data, wherein the affected track sector data is configured to be used by the first mobile track information station to determine whether the first vehicle is within the affected track sector.

An example system for racing aircraft systems includes: a plurality of autonomous synchronized unmanned aircraft systems configured to form a swarm at a race course through which the aircraft systems are to navigate; and a controller configured to be operatively coupled to at least one unmanned aircraft system of the swarm, the controller configured to control the swarm to form an element of the race course.

An example system for racing aircraft systems includes: a plurality of autonomous synchronized unmanned aircraft systems configured to form a swarm at a race course through which the aircraft systems are to navigate; and a controller configured to be operatively coupled to at least one unmanned aircraft system of the swarm, the controller configured to control the swarm to form an element of the race course.

An apparatus includes a quadcopter simulator coupled to an Artificial Intelligence (AI) controller. The quadcopter controller is configured to receive quadcopter flight control commands and to generate simulated sensor output and simulated camera output for a plurality of stereoscopic cameras of a simulated quadcopter. The AI controller is configured to receive the simulated sensor and camera output from the quadcopter simulator, determine a flight path for the simulated quadcopter according to the simulated sensor and camera output, generate the quadcopter flight control commands according to the flight path, and provide the quadcopter flight control commands to the quadcopter simulator.

An apparatus includes a quadcopter simulator coupled to an Artificial Intelligence (AI) controller. The quadcopter controller is configured to receive quadcopter flight control commands and to generate simulated sensor output and simulated camera output for a plurality of stereoscopic cameras of a simulated quadcopter. The AI controller is configured to receive the simulated sensor and camera output from the quadcopter simulator, determine a flight path for the simulated quadcopter according to the simulated sensor and camera output, generate the quadcopter flight control commands according to the flight path, and provide the quadcopter flight control commands to the quadcopter simulator.

Disclosed is a theme park system for vehicle driving, the system comprising an integrated operating server for: receiving sensor information, through one or more tracks including at least one sensor and a dedicated internal network used inside a theme park for vehicle driving, from the one or more tracks and one or more vehicles driving on the one or more tracks; receiving user information from one ore more user clients by using an external communication network which is not overlapped with the internal network; generating driving information on one or more vehicles by using the received sensor information; and managing the theme park system on the basis of the generated driving information and the received user information.