A system that simulates force feedback of a remote-control vehicle in a motion chair, which includes a plurality of cameras (110,120) mounted on the vehicle (100), an image stabilization module (430) in the vehicle (100), a video processing module (440) in the vehicle (100), an information splitter (514) in the motion chair (570), a motion processing unit (520) in the motion chair (570), a control unit (550) in the motion chair (570), a G-force calculation unit (560) in the motion chair (570) and a force feedback generation unit (540) in the motion chair (570). The motion processing unit (520) calculates six degrees of freedom of motions of the vehicle based on the image stabilization signals generated from the cameras (110,120). The force feedback generation unit (540) produces force feedback signals based on the six degrees of freedom of motions of the vehicle (100) and the G-force calculated by the G-force calculation unit (560).

A system that simulates force feedback of a remote-control vehicle in a motion chair, which includes a plurality of cameras (110,120) mounted on the vehicle (100), an image stabilization module (430) in the vehicle (100), a video processing module (440) in the vehicle (100), an information splitter (514) in the motion chair (570), a motion processing unit (520) in the motion chair (570), a control unit (550) in the motion chair (570), a G-force calculation unit (560) in the motion chair (570) and a force feedback generation unit (540) in the motion chair (570). The motion processing unit (520) calculates six degrees of freedom of motions of the vehicle based on the image stabilization signals generated from the cameras (110,120). The force feedback generation unit (540) produces force feedback signals based on the six degrees of freedom of motions of the vehicle (100) and the G-force calculated by the G-force calculation unit (560).

A dynamic human machine interface system includes a mission commander application (MCA) unit including a control processor, the MCA active on one vehicle of a plurality of mission member vehicles, the MCA unit in communication with a data store, the control processor accessing executable instructions that cause the control processor to direct operations of components of the MCA unit, an alternate scenario evaluation unit accessing at least one of mission parameter records and flight member data records in the data store to recalculate mission parameters, a dynamic video interface unit to render the recalculated mission parameters on a mission control dashboard (MCD), the MCD presented to the mission commander on a display unit of the one vehicle, the MCD including a plurality of display pane areas selectable by a user interaction with an interactive interface, and each display area configurable by the user interaction to change content of the display pane.

A dynamic human machine interface system includes a mission commander application (MCA) unit including a control processor, the MCA active on one vehicle of a plurality of mission member vehicles, the MCA unit in communication with a data store, the control processor accessing executable instructions that cause the control processor to direct operations of components of the MCA unit, an alternate scenario evaluation unit accessing at least one of mission parameter records and flight member data records in the data store to recalculate mission parameters, a dynamic video interface unit to render the recalculated mission parameters on a mission control dashboard (MCD), the MCD presented to the mission commander on a display unit of the one vehicle, the MCD including a plurality of display pane areas selectable by a user interaction with an interactive interface, and each display area configurable by the user interaction to change content of the display pane.

A computer implemented method of creating data for a host vehicle simulation, comprising: in each of a plurality of iterations of a host vehicle simulation using at least one processor for: obtaining from an environment simulation engine a semantic-data dataset representing a plurality of scene objects in a geographical area, each one of the plurality of scene objects comprises at least object location coordinates and a plurality of values of semantically described parameters; creating a 3D visual realistic scene emulating the geographical area according to the dataset; applying at least one noise pattern associated with at least one sensor of a vehicle simulated by the host vehicle simulation engine on the virtual 3D visual realistic scene to create sensory ranging data simulation of the geographical area; converting the sensory ranging data simulation to an enhanced dataset emulating the geographical area, the enhanced dataset comprises a plurality of enhanced scene objects.

A computer implemented method of creating data for a host vehicle simulation, comprising: in each of a plurality of iterations of a host vehicle simulation using at least one processor for: obtaining from an environment simulation engine a semantic-data dataset representing a plurality of scene objects in a geographical area, each one of the plurality of scene objects comprises at least object location coordinates and a plurality of values of semantically described parameters; creating a 3D visual realistic scene emulating the geographical area according to the dataset; applying at least one noise pattern associated with at least one sensor of a vehicle simulated by the host vehicle simulation engine on the virtual 3D visual realistic scene to create sensory ranging data simulation of the geographical area; converting the sensory ranging data simulation to an enhanced dataset emulating the geographical area, the enhanced dataset comprises a plurality of enhanced scene objects.

Techniques for determining a safety metric associated with a vehicle controller are discussed herein. To validate safe operation of a system, a simulation may be executed including determining a relative location of a simulated object within the simulation with respect to a location of a simulated vehicle, determining, based on the relative location of the simulated object, an adjusted location of the simulated object within the simulation, controlling, by the autonomous vehicle controller and based on the relative location of the simulated object, the simulated vehicle to follow a trajectory within the simulation, and performing a collision check between the simulated vehicle and the simulated object at the adjusted location. The safety metric associated with the autonomous vehicle controller may then be determined based at least in part an outcome of the collision check.

Techniques for determining a safety metric associated with a vehicle controller are discussed herein. To validate safe operation of a system, a simulation may be executed including determining a relative location of a simulated object within the simulation with respect to a location of a simulated vehicle, determining, based on the relative location of the simulated object, an adjusted location of the simulated object within the simulation, controlling, by the autonomous vehicle controller and based on the relative location of the simulated object, the simulated vehicle to follow a trajectory within the simulation, and performing a collision check between the simulated vehicle and the simulated object at the adjusted location. The safety metric associated with the autonomous vehicle controller may then be determined based at least in part an outcome of the collision check.

A heavy equipment simulation system for simulating an operation of a heavy equipment vehicle in a virtual environment is described herein. The heavy equipment simulation system includes a support frame, an operator input control assembly coupled to the support frame for receiving input from a user, a motion actuation system coupled to the support frame for adjusting an orientation of the support frame with respect to a ground surface, a display device assembly configure to display the virtual environment including the simulated heavy equipment vehicle, a virtual reality (VR) headset unit adapted to be worn by the user, and a control system.

A heavy equipment simulation system for simulating an operation of a heavy equipment vehicle in a virtual environment is described herein. The heavy equipment simulation system includes a support frame, an operator input control assembly coupled to the support frame for receiving input from a user, a motion actuation system coupled to the support frame for adjusting an orientation of the support frame with respect to a ground surface, a display device assembly configure to display the virtual environment including the simulated heavy equipment vehicle, a virtual reality (VR) headset unit adapted to be worn by the user, and a control system.