Abstract: A computer includes a processor that is programmed to receive input specifying a component in a vehicle and data specifying a location of a wearable device in the vehicle. The processor is programmed to determine a distance of the wearable device from a location of the component and actuate the wearable device to provide haptic output based on the determined distance.

Abstract: A system includes a processor configured to predict upcoming driver behavior based on a correlation between received context variables and previously observed driver behavior. The processor is also configured to request confirmation that predicted behavior is intended by a driver. Further, the processor is configured to change an in-vehicle display to include a control or feature relevant to the predicted behavior, upon confirmation receipt.

Abstract: A computer is programmed to receive biometric data, from a transdermal patch in a vehicle during operation of a vehicle, wherein the biometric data include a measurement of a chemical. The computer is programmed to actuate a vehicle component, upon determining from a combination of the measurement of the chemical and vehicle operating data that a risk threshold is exceeded.

Abstract: A computer includes a processor that is programmed to receive input specifying a component in a vehicle and data specifying a location of a wearable device in the vehicle. The processor is programmed to determine a distance of the wearable device from a location of the component and actuate the wearable device to provide haptic output based on the determined distance.

Abstract: A system, including: one or more sensors included in an apparatus wearable by a vehicle operator to measure ocular muscle movement; and a computer that includes a processor and a memory, the memory storing instructions executable by the computer such that the computer is programmed to: receive data indicating ocular muscle movement from the wearable sensor; determine, using the measurement, a gaze direction of the operator; use the gaze direction to determine a level of operator attentiveness; and actuate a vehicle operation if the level of operator attentiveness is below a predetermined threshold.

Abstract: A computer includes a processor that is programmed to receive data including a current user biometric data and vehicle operating data. The processor is programmed to determine a user workload value based on the received data and a workload determination classifier that is based on received data including workload values collected from a plurality of tests of test users driving along one or more routes. The processor is programmed to cause an action in the vehicle according to the determined workload.

Abstract: A wearable computing device in a vehicle is identified by a computer in a vehicle. Collected data is received relating to autonomous operation of the vehicle. A message is sent to the wearable computing device based at least in part on the collected data.

Abstract: A system, including: one or more sensors included in an apparatus wearable by a vehicle operator to measure ocular muscle movement; and a computer that includes a processor and a memory, the memory storing instructions executable by the computer such that the computer is programmed to: receive data indicating ocular muscle movement from the wearable sensor; determine, using the measurement, a gaze direction of the operator; use the gaze direction to determine a level of operator attentiveness; and actuate a vehicle operation if the level of operator attentiveness is below a predetermined threshold.

Abstract: Systems and methods are disclosed for integrated on-board data collection from a solitary driver in a vehicle. An example disclosed includes cameras, a glove with first and second sensors, a vest with third and fourth sensors, and a sensor electronic module. The example sensor electronic module is communicatively coupled to the cameras, the glove, the vest, and a diagnostic port of a vehicle. The sensor electronic module monitors and records data from the cameras, the first second, third and fourth sensors, and electronic control units of the vehicle.

Abstract: A system includes a processor configured to predict upcoming driver behavior based on a correlation between received context variables and previously observed driver behavior. The processor is also configured to request confirmation that predicted behavior is intended by a driver. Further, the processor is configured to change an in-vehicle display to include a control or feature relevant to the predicted behavior, upon confirmation receipt.

Abstract: A user gesture is detected based on received data from one or more motion sensors. User gesture attributes are identified including at least one of hand vectoring, wrist articulation, and finger articulation from the gesture including respective movements of each of a plurality of a user's fingers. Based on the gesture attributes, a user and an action to be performed in a vehicle are identified. The action is performed in the vehicle to control at least one vehicle component based on the gesture.

Abstract: A vehicle operator is identified. Based at least in part on the operator's identity, one or more parameters are determined specifying a mode for autonomously operating the vehicle. The vehicle is autonomously operated at least in part according to the one or more parameters.

Abstract: A system and method for controlling the performance of complex operations on a dashboard-mounted touchscreen in a vehicle moving above a predetermined minimal speed. The system includes a sensor for determining that the touchscreen is intended or going to be touched by driver and/or front seat passenger. A control, responsive to operation of the sensor, disallows or allows the touchscreen to be responsive to a touching. The touchscreen is not allowed to perform a complex operation when the vehicle is moving above the minimal speed if the touchscreen is touched by the driver. The touchscreen is allowed to perform a complex operation when the vehicle is moving above the minimal speed if the touchscreen is not going to be touched by the driver and is touched by the passenger.

Abstract: A vehicle includes at least one autonomous driving sensor configured to monitor at least one condition while operating in an autonomous mode. The vehicle further includes a processing device configured to identify at least one occupant, select a profile associated with the occupant, and autonomously operate at least one subsystem according to the selected profile and the at least condition monitored by the at least one autonomous driving sensor.

Abstract: Vehicle operating systems are autonomously operated. A transient in an upcoming path of the vehicle is determined from a comparison of vehicle path data and vehicle status data to a threshold of mechanism first operating system. Operational parameters for one of first and second operating systems are selected according to the comparison. The selected operational parameters are applied to the operation of the one of the first and second operating systems.

Abstract: Data is collected during operation of a vehicle. A determination is made that a confidence assessment of at least one of the data indicates at least one fault condition. A first autonomous operation affected by the fault condition is discontinued, where a second autonomous operation that is unaffected by the fault condition is continued.

Abstract: Data may be collected relating to autonomous operation of a vehicle. A first confidence assessment concerning whether the vehicle should operate autonomously may then be generated, and it may be determined whether the first confidence assessment meets or exceeds a predetermined threshold. An alert may be provided via a user interface in the vehicle relating to ending autonomous operation of the vehicle if the first confidence assessment meets or exceeds the predetermined threshold.

Abstract: One of a condition affecting a vehicle and a planned action of the vehicle are identified. An instruction is provided to actuate movement of a steering wheel in the vehicle, wherein the movement is determined according to the one of the condition and the planned action.

Abstract: A user gesture is detected based on received data from one or more motion sensors. User gesture attributes are identified including at least one of hand vectoring, wrist articulation, and finger articulation from the gesture including respective movements of each of a plurality of a user's fingers. Based on the gesture attributes, a user and an action to be performed in a vehicle are identified. The action is performed in the vehicle to control at least one vehicle component based on the gesture.

Abstract: A vehicle is operated at least partially autonomously. A predicted path of the vehicle is monitored to identify an object with which the vehicle is likely to collide. A graphical user interface (GUI) is provided that includes the predicted path, a proposed path for the vehicle to avoid a collision with an object, and the vehicle. A selection is made to follow one of the predicted path and the proposed path. The GUI is updated to include the selected one of the predicted path and the proposed path, along with a location of the vehicle on the selected one of the predicted path and the proposed path.