Abstract: Systems and methods for autonomous vehicle testing are provided. In one example embodiment, a computer implemented method includes obtaining, by a computing system including one or more computing devices, simulated perception data indicative of one or more simulated states of at least one simulated object within a surrounding environment of an autonomous vehicle. The computer-implemented method includes determining, by the computing system, a motion of the autonomous vehicle based at least in part on the simulated perception data. The computer-implemented method includes causing, by the computing system, the autonomous vehicle to travel in accordance with the determined motion of the autonomous vehicle through the surrounding environment of the autonomous vehicle.

Abstract: A method and system for controlling an apparatus including receiving data indicative of an actual state of the apparatus, defining a first viewpoint relative to at least one of the environment and the apparatus, determining a first predicted state of the apparatus at time T, determining a first predicted state of the environment at time T, producing a first virtualized view from the first viewpoint, sending a first control signal to the apparatus after producing the first virtualized view, defining a second viewpoint relative to at least one of the apparatus and the environment, determining a second predicted state of the apparatus at time T+delta T, determining a second predicted state of the environment at time T+delta T, producing the second virtualized view from the second viewpoint, sending a second control signal to the apparatus after producing the second virtualized view, and changing the actual state of the apparatus based on the first control signal.

Abstract: A method and system for controlling an apparatus including receiving data indicative of an actual state of the apparatus, defining a first viewpoint relative to at least one of the environment and the apparatus, determining a first predicted state of the apparatus at time T, determining a first predicted state of the environment at time T, producing a first virtualized view from the first viewpoint, sending a first control signal to the apparatus after producing the first virtualized view, defining a second viewpoint relative to at least one of the apparatus and the environment, determining a second predicted state of the apparatus at time T+delta T, determining a second predicted state of the environment at time T+delta T, producing the second virtualized view from the second viewpoint, sending a second control signal to the apparatus after producing the second virtualized view, and changing the actual state of the apparatus based on the first control signal.