Physical and/or sensory skills may be trained by varying the quantity of sensory information available to an individual, the quality of sensory information available to an individual, and/or the difficulty of physical training performed by an individual. The difficulty of training may be varied using eyewear that alters the quality/quantity of visual information available and/or that provide a display that instructs the individual training to increase/decrease the difficulty of training tasks. The difficulty of training may be varied in response to measurements of the physiology and/or performance of an individual training.

Physical and/or sensory skills may be trained by varying the quantity of sensory information available to an individual, the quality of sensory information available to an individual, and/or the difficulty of physical training performed by an individual. The difficulty of training may be varied using eyewear that alters the quality/quantity of visual information available and/or that provide a display that instructs the individual training to increase/decrease the difficulty of training tasks. The difficulty of training may be varied in response to measurements of the physiology and/or performance of an individual training.

A water rollover simulation system includes a simulation training device. The simulation training device is connected to a track, wherein one end of the track is submerged in water. The simulation training device begins a simulation on another portion of the track not submerged in water, moves toward the end of the track, and completes the simulation by allowing one or more trainees to escape the simulation training device while the simulation training device is submerged under water. The water rollover simulation system includes various safety features. The safety features can be activated automatically after a predetermined amount of time, or manually via a remote control system.

System, methods, and other embodiments described herein relate to a training system to train a driver about occurrences of anomalous driving events of automated vehicle systems. In one embodiment, a method includes determining, upon receiving a selection of a vehicle behavior from one or more anomalous driving events and a detected state change signal, whether the vehicle behavior affects one or more entities. The method includes assessing a state of the one or more entities to simulate the vehicle behavior according to a safety standard. The method includes triggering simulation of the vehicle behavior if the state satisfies a threshold. The method includes simulating the vehicle behavior by at least controlling the vehicle to simulate the vehicle behavior during automated driving of the vehicle.

System, methods, and other embodiments described herein relate to a training system to train a driver about occurrences of anomalous driving events of automated vehicle systems. In one embodiment, a method includes determining, upon receiving a selection of a vehicle behavior from one or more anomalous driving events and a detected state change signal, whether the vehicle behavior affects one or more entities. The method includes assessing a state of the one or more entities to simulate the vehicle behavior according to a safety standard. The method includes triggering simulation of the vehicle behavior if the state satisfies a threshold. The method includes simulating the vehicle behavior by at least controlling the vehicle to simulate the vehicle behavior during automated driving of the vehicle.

An information processing device includes a control unit. The control unit acquires actual traveling information about a first vehicle that travels along a first traveling route, and generates control information for reproducing a traveling state of the first vehicle on the first traveling route, based on the acquired traveling information about the first vehicle.

An information processing device includes a control unit. The control unit acquires actual traveling information about a first vehicle that travels along a first traveling route, and generates control information for reproducing a traveling state of the first vehicle on the first traveling route, based on the acquired traveling information about the first vehicle.

Systems and methods for scenario marker infrastructure are disclosed. In one embodiment, a method comprises receiving driving scenario data, extracting simulated sensor data from the driving scenario data, extracting scenario markers from the driving scenario data, inputting the simulated sensor data into autonomous driving software, receiving driving instructions output by the driving software, updating a driving status of the autonomous vehicle based on the driving instructions output by the autonomous driving software, creating a simulation log comprising the simulated sensor data and the driving instructions, and inserting the scenario markers into the simulation log.

Systems and methods for scenario marker infrastructure are disclosed. In one embodiment, a method comprises receiving driving scenario data, extracting simulated sensor data from the driving scenario data, extracting scenario markers from the driving scenario data, inputting the simulated sensor data into autonomous driving software, receiving driving instructions output by the driving software, updating a driving status of the autonomous vehicle based on the driving instructions output by the autonomous driving software, creating a simulation log comprising the simulated sensor data and the driving instructions, and inserting the scenario markers into the simulation log.

A driving accident simulation, having a head-wearable user interface (e.g., a head-worn virtual-reality display), may be used to inform a driver of the driver's potential liability under different insurance options. The simulation may determine damages caused by the simulated accident, and identify multiple insurance options and the resulting user liability under each option. The simulation may also be used to assess an insurance adjuster's ability to estimate damages from an accident, by receiving the adjuster's estimate and comparing it to the simulation's own estimate of damages. In some embodiments, the simulation may present a driver with a simulated view from a point of view of another party to the simulated accident.