Abstract: Systems and methods are provided for personalizing autonomous driving. The system can receive historical data on a driver of the vehicle's performance and population data indicating a population driving style. Speed data can be recorded as the driver of the vehicle drives the vehicle during a trial period. The historical data, population data, and speed data can be input into a machine learning model to determine a style for the driver. The system can receive one or more parameters from the machine learning model indicating the style. These parameters can be applied to the vehicle's automated driving system.

Abstract: A method for a replay driver skill improvement system is described. The method includes logging vehicle commands requested by a vehicle operator of an ego vehicle to perform a selected driving maneuver. The method also includes identifying one or more of the logged vehicle commands in which operation of the ego vehicle is outside of a predetermined threshold while performing the selected driving maneuver. The method further includes operating the ego vehicle according to the logged vehicle commands until the one or more of the logged vehicle commands in which operation of the ego vehicle is outside of the predetermined threshold are reached. The method also includes performing, through shared control with the vehicle operator, improved vehicle commands to complete the selected driving maneuver while operating the ego vehicle at or within the predetermined threshold.

Abstract: A driving simulator may include a controller programmed to simulate operation of a vehicle being driven by a driver, the vehicle including assistive driving technology, receive driver data associated with the driver, determine whether the driver is distracted based on the driver data, and upon determination that the driver is distracted, simulate a particular driving event.

Abstract: A simulation system includes a storage module comprising a plurality of behaviors and an electronic control unit. The electronic control unit is configured to define an agent for use in a simulation, where the agent comprises one or more of the plurality of behaviors from the storage module and the agent is capable of implementation on a plurality of different simulators, establish a contract with a first simulator and the agent to provide a consistent boundary between the agent and the first simulator, and execute the simulation of a device in a simulation environment with the first simulator and the agent.

Abstract: A simulation system includes a storage module comprising a plurality of behaviors and an electronic control unit. The electronic control unit is configured to define an agent for use in a simulation, where the agent comprises one or more of the plurality of behaviors from the storage module and the agent is capable of implementation on a plurality of different simulators, establish a contract with a first simulator and the agent to provide a consistent boundary between the agent and the first simulator, and execute the simulation of a device in a simulation environment with the first simulator and the agent.