A system for controlling an autonomous vehicle includes a memory configured to store parameters of a g-g plot defining admissible space of values of longitudinal and lateral accelerations. The g-g plot parameters define a mapping between user driving preferences and constrained control of the autonomous vehicle. The g-g plot parameters include a maximum forward acceleration, a maximum backward acceleration, a maximum lateral acceleration and a shape parameter defining profile of curves connecting maximum values of forward, backward, and lateral accelerations. The system accepts a comfort level as a feedback from a passenger of the vehicle, determines a dominant parameter corresponding to the feedback, updates the dominant parameter of the g-g plot based on the comfort level indicated in the feedback, and controls the vehicle to maintain dynamics of the vehicle within the admissible space defined by the parameters of the updated g-g plot.

Provided are methods for providing tuning progress information; managing a tuning task; and managing tuning task quality, when tuning an internal combustion engine vehicle to an electric powered vehicle.

The method for providing tuning progress information includes: receiving information related to a tuning target vehicle from a customer terminal; specifying a tuning target vehicle from the received information; specifying tuning target parts for the tuning target vehicle; specifying an agent terminal performing tuning for the specified tuning target vehicle; receiving progress information related to tuning progress details from the specified agent terminal; classifying the tuning target parts into a first component for which tuning has been completed, a second component for which tuning is in progress, and a third component for which tuning has not been started, based on the received progress information; and displaying the components with different display features on a display.

Systems and methods for characterizing a driving style of an autonomous vehicle are presented. A system may include one or more sensors configured to collect information concerning driving characteristics; a memory containing computer-readable instructions for evaluating the driving characteristics for a pattern(s) correlatable with a driving style of the autonomous vehicle and for characterizing aspects of driving style based on the one or more patterns; and a processor configured to evaluate the driving characteristics for the one or more patterns correlatable with the driving style, and characterize aspects of the driving style based on the pattern(s). Corresponding methods and non-transitory media are disclosed.

Vehicle systems include features for performing remote park assist (RePA) operations. One system include a feature where a user provides a continuous input via a touchscreen on a mobile device. The mobile device transmits a message and a vehicle autonomously traverses a calculated parking path while the message is being received by the vehicle. Another system include a feature where the vehicle autonomously move to a parking space based on data received from the mobile device. The mobile device receives user inputs on a display showing representations of the vehicle and its surrounding areas to generate the data. Another system include a feature where the mobile device determines whether the user is a first time user of a RePA application. The mobile device operates in a certain training mode based on the determination.

A method for controlling an approach of a driving vehicle to at least one preceding reference vehicle using an automated distance setting as a function of a setpoint distance between the vehicle and the reference vehicle. The setpoint distance is calculated as a function of an operating position of an operating element of the vehicle, which is actuatable by the driver of the vehicle and controls a drive of the vehicle. The setpoint distance being reduced directly or indirectly by actuating an actuating element of the vehicle, which has an actuating position, is actuatable by the driver of the vehicle, and controls a braking deceleration of the vehicle. A distance control system, a computer program, and a memory unit, as also described.

A method and device parameterize a driving dynamics controller of a vehicle, which intervenes in a controlling manner in a driving dynamics of the vehicle. The driving dynamics controller ascertains an action depending on a vehicle state. The method includes providing a model for predicting a vehicle state. The model configured to predict a subsequent vehicle state depending on the vehicle state and the action. At least one data tuple is ascertained including a sequence of vehicle states and respectively associated actions. The vehicle states are ascertained by the driving dynamics controller using the model depending on an ascertained action. The parameters of the driving dynamics controller are changed/adjusted such that a cost function which ascertains costs of the trajectory depending on the vehicle states and on the ascertained actions of the respectively associated vehicle states and is dependent on the parameters of the driving dynamics controller is minimized.

A method for the performance-enhancing driver assistance of a road vehicle driven by a driver and provided with at least two drive wheels driven by at least one electric motor connected to a corresponding vehicular battery pack; the method comprises the steps of defining a dynamic model of the road vehicle; determining a route of a track travelled by the road vehicle; calculating, as a function of the dynamic model of the road vehicle and of the route, a convenience index relative to the use of energy of the vehicular battery pack by the electric motor; subdividing the route (R) into a plurality of sectors assigning to each a relative value of the calculated convenience index; delivering electrical power to the drive wheels according to the value of the convenience index assigned to each sector of the route.

A vehicle is provided and includes a gesture detector that detects a gesture of a driver to designate a manipulation target object and a voice recognizer that recognizes a voice command generated by the driver to operate the designated manipulation target object. A controller is configured to transmit a control signal corresponding to the voice command to the manipulation target object, and to operate the manipulation target object to perform an operation corresponding to the voice command.

The system comprises input means for receiving user data from associated user monitoring means that each monitor at least one respective attribute of the user of the vehicle. The user data is indicative of the plurality of respective attributes. A plurality of inference modules each receive user data from the user monitoring means, and each determine a respective inference of a cognitive state of the user based on the received user data. Each inference module is arranged to output user state data indicative of the determined inference of the cognitive state of the user. An inference fusion module receives the user state data from each of the plurality of inference modules to determine an inference of an aggregated cognitive state of the user and to output cognitive state data indicative of the aggregated cognitive state for controlling the vehicle functions.

A control device for a vehicle and a reset method for such a control device. The control device includes a voltage supply and system components including a processing unit which, with the other system components, carries out at least one device function, and selectively switches off or resets assigned individual system components depending on the function and/or depending on the state via at least one selectively generated controller reset signal, the system components being supplied by at least two different internal system voltages. At least one monitoring function monitors the at least two internal system voltages. Different voltage-related reset signals are assigned to the monitored internal system voltages. As soon as the assigned monitored internal system voltage is recognized to be erroneous, the monitoring function selectively generates and outputs a voltage-related reset signal to at least one system component which is supplied with the internal system voltage recognized as erroneous.