Virtual Reality Training Device

A method for controlling a plurality of real-world autonomous vehicles, the method comprising:

• storing, in a data structure on a non-transitory memory device, a topographic landscape representation of a real-world location, the topographic landscape representation comprising a wireframe and surface textures;
• storing, in the data structure, a representation for at least one autonomous vehicle;
• associating, by a processor, the topographic landscape representation and the representation of the autonomous vehicle using a fixed coordinate system;
• ingesting, by the processor, at least a portion of the topographic landscape representation and the vehicle representations into a virtual environment stored on the non-transitory memory device, the virtual environment comprising a physics engine configured to execute physical rules;
• applying, by the processor, the physical rules of the physics engine to the autonomous vehicle representation within the virtual environment;
• and
• transmitting, through a communication interface comprising a plurality of transceivers, control data generated by the processor to control control surfaces of the autonomous vehicle.