An autonomous vehicle includes processor circuitry to control a lateral position of the autonomous vehicle during autonomous driving at least based on a default lateral position and a user interface arranged to receive an input indicative of an off-set of the lateral position from a user of the autonomous driving vehicle, wherein the processor circuitry is arranged to receive, from the user interface, information regarding the off-set of the lateral position of the autonomous driving vehicle during driving in the lateral position, calculate a maximum right and a maximum left off-set of the lateral position, calculate a dynamic off-set value based on the received off-set and the maximum right and the maximum left off-set, adjust the lateral position based on the off-set information, and control the lateral position at least based on the dynamic off-set value and the default lateral position of the autonomous driving vehicle.

The present embodiments relate to selection and execution of one or more output actions relating to a modification of at least one feature of a vehicle. A series of sensors on a vehicle can acquire data that can be used to identify vehicle environment characteristics indicative of a status of a vehicle environment and an emotional state of the user. The vehicle environment characteristics and the emotional state can be processed using a user model that corresponds to a user to generate one or more selected output actions. The output actions can be executed on the vehicle to increase user experience. The output actions can relate to any of entertainment features, safety features, and/or comfort features of the vehicle.

A processor associated with a vehicle receives sensor data from a plurality of sensors associated with a vehicle, where each sensor generates data corresponding to a different parameter of a passenger in the vehicle. Based on the sensor data, one or more primitive emotional indications are generated. The processor applies a model to the one or more primitive emotional indications that when applied outputs a contextualized emotional indication associated with the passenger that includes an assessment of an emotional state of the passenger and a reason for the emotional state. A contextual response is selected based on the contextualized emotional indication, and the processor causes an output by the vehicle to enact the contextual response.

The present embodiments relate to selection and execution of one or more output actions relating to a modification of at least one feature of a vehicle using a user-specific profile model. A user-specific profile model associated with a user can be modified based on matching detected user characteristic data with any of a series of predetermined profile types. Vehicle environmental data can be processed using the user-specific profile model to generate an output action that modifies one or more vehicle features. The generated output action can be executed on the vehicle. The output actions can relate to any of entertainment features, safety features, and/or comfort features of the vehicle.

The present embodiments relate to selection and execution of one or more output actions relating to a modification of at least one feature of a vehicle. A series of sensors on a vehicle can acquire data that can be used to identify vehicle environment characteristics indicative of a status of a vehicle environment and an emotional state of the user. The vehicle environment characteristics and the emotional state can be processed using a user model that corresponds to a user to generate one or more selected output actions. The output actions can be executed on the vehicle to increase user experience. The output actions can relate to any of entertainment features, safety features, and/or comfort features of the vehicle.

A sensor fusion system associated with a vehicle includes a sensor interface communicatively coupled to a plurality of sensors in the vehicle and a vehicle experience system. The sensor interface comprises an input receiving data from each of the plurality of sensors and an output configured to output fused vehicle data based on the data received from the plurality of sensors. The vehicle experience system is coupled to the output of the sensors interface to receive the fused vehicle data. The vehicle experience system includes one or more processors and a non-transitory computer readable storage medium storing instructions that when executed by one or more processors cause the one or more processors to control at least one parameter of the vehicle based on the fused vehicle data.

Method and apparatus are disclosed for park-assist based on vehicle door open positions. An example vehicle includes a door, a door sensor, a range-detection sensor, and a controller. The controller is to determine, via the door sensor, a preferred angle of an occupant for opening the door and detect, via the range-detection sensor, a spot that is unoccupied. The controller also is to predict a maximum angle for opening the door within the spot. The example vehicle also includes an autonomy unit to perform park-assist into the spot responsive to the maximum angle equaling or exceeding the preferred angle.

A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

Systems and methods are disclosed for contextual driver monitoring. In one implementation, one or more first inputs are received. The one or more first inputs are processed to identify a first object in relation to a vehicle. One or more second inputs are received. The one or more second inputs are processed to determine a state of attentiveness of a driver of the vehicle with respect to the first object based on (a) a direction of the gaze of the driver in relation to the first object and (b) one or more conditions under which the first object is perceived by the driver. One or more actions are initiated based on the state of attentiveness of a driver.

Systems and methods are disclosed for contextual driver monitoring. In one implementation, one or more first inputs are received. The one or more first inputs are processed to identify a first object in relation to a vehicle. One or more second inputs are received. The one or more second inputs are processed to determine, based on one or more previously determined states of attentiveness associated with the driver of the vehicle in relation to one or more objects associated with the first object, a state of attentiveness of a driver of the vehicle with respect to the first object. One or more actions are initiated based on the state of attentiveness of a driver.