Methods and systems are provided for improving vehicle speed measurements. A vehicle may detect the impact of a roadway irregularity to its front wheels and its rear wheels, and may calculate an instantaneous vehicle speed on the basis of its wheelbase and an elapsed time between the two impacts. This instantaneous vehicle speed may then be used to calculate one or more correction factors which may be used to correct a conventionally-acquired vehicle speed measurement, an operational parameter of the vehicle underlying such measurements (such as a wheel size or a final drive ratio), or both.

A method to control a road vehicle driven by a driver and provided with at least a first drive wheel and a second driver wheel belonging to a same axle, each drive wheel being independently operated by a respective first and second electric motor; the control method comprises the step of controlling the torque delivered by each respective motor to the first drive wheel or to the second drive wheel as a function of a torque requested by the driver and independently of the difference in angular speed between the first and the second wheel.

A method to control a road vehicle driven by a driver and provided with at least a first drive wheel and a second driver wheel belonging to a same axle, each drive wheel being independently operated by a respective first and second electric motor; the control method comprises the step of controlling the torque delivered by each respective motor to the first drive wheel or to the second drive wheel as a function of a torque requested by the driver and independently of the difference in angular speed between the first and the second wheel.

A vehicle control apparatus includes an electric motor, an engine, and a control system. The control system executes a first speed mode or a second speed mode as a speed mode of the transmission on the basis of a driving operation performed by a driver, sets a speed ratio on a lower side in the second speed mode than in the first speed mode in a case where an accelerator operation performed by the driver is cancelled, executes a first assist mode or a second assist mode as an assist mode in which the electric motor is brought into a power-running state, and switches the assist mode to the second assist mode in a case where the amount of the accelerator operation is increased greater than a starting threshold while the second speed mode is being executed.

A vehicle control apparatus includes an electric motor, an engine, and a control system. The control system executes a first speed mode or a second speed mode as a speed mode of the transmission on the basis of a driving operation performed by a driver, sets a speed ratio on a lower side in the second speed mode than in the first speed mode in a case where an accelerator operation performed by the driver is cancelled, executes a first assist mode or a second assist mode as an assist mode in which the electric motor is brought into a power-running state, and switches the assist mode to the second assist mode in a case where the amount of the accelerator operation is increased greater than a starting threshold while the second speed mode is being executed.

Aspects of adaptive trust calibration may include receiving a trust model for an occupant of an autonomous vehicle calculated based on occupant sensor data and a first scene context sensor data, and/or receiving a second scene context sensor data associated with an environment of the autonomous vehicle, determining an over trust scenario or an under trust scenario based on the trust model and a trust model threshold, and generating and implementing a human machine interface (HMI) action or a driving automation action based on the determination of the over trust scenario or the determination of the under trust scenario, and/or the second scene context sensor data.

Aspects of adaptive trust calibration may include receiving a trust model for an occupant of an autonomous vehicle calculated based on occupant sensor data and a first scene context sensor data, and/or receiving a second scene context sensor data associated with an environment of the autonomous vehicle, determining an over trust scenario or an under trust scenario based on the trust model and a trust model threshold, and generating and implementing a human machine interface (HMI) action or a driving automation action based on the determination of the over trust scenario or the determination of the under trust scenario, and/or the second scene context sensor data.

Systems and methods for clustering human trust dynamics are provided. In one embodiment, a computer implemented method for clustering human trust dynamics is provided. The computer implemented method includes receiving trust data for a plurality of participants interacting with one or more agents in an interaction. The computer implemented method also includes identifying a plurality of phases for the interaction. The computer implemented method further includes extracting features characterizing trust dynamics from the trust data for at least one interaction for each participant of the plurality participants. The at least one interaction is between the participant and an agent of the one or more agents. The computer implemented yet further includes assigning the features characterizing trust dynamics to a phase of the plurality of phases. The computer implemented method includes grouping a subset of the participant of the plurality of participants based on the on features characterizing trust dynamics.

Systems and methods for clustering human trust dynamics are provided. In one embodiment, a computer implemented method for clustering human trust dynamics is provided. The computer implemented method includes receiving trust data for a plurality of participants interacting with one or more agents in an interaction. The computer implemented method also includes identifying a plurality of phases for the interaction. The computer implemented method further includes extracting features characterizing trust dynamics from the trust data for at least one interaction for each participant of the plurality participants. The at least one interaction is between the participant and an agent of the one or more agents. The computer implemented yet further includes assigning the features characterizing trust dynamics to a phase of the plurality of phases. The computer implemented method includes grouping a subset of the participant of the plurality of participants based on the on features characterizing trust dynamics.

An information processing apparatus compares a sense of use of a first vehicle with a sense of use of a second vehicle based on first information about one or more automobile components used by a user in the first vehicle that the user has used in the past in the first vehicle and second information about one or more automobile components used by the user in the second vehicle that is a vehicle candidate lent to the user. Then, the information processing apparatus notifies the user of result information related to a result of the comparing the sense of use of the first vehicle with the sense of use of the second vehicle.