In some examples, a controller receives information of a route of a vehicle, and selects a first parameter set from among a plurality of parameter sets based on the route of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the first parameter set to control a setting of the one or more adjustable elements of the vehicle.

The present application relates to a method for providing vehicle functions in a motor vehicle, the vehicle functions being provided in a computing device of said motor vehicle on the basis of sensor data from a sensor device of the motor vehicle. The invention provides that the vehicle functions in the motor vehicle are coupled to the sensor device via an integration component, and the integration component procures the sensor data from one sensor unit or a plurality of sensor units of the sensor device independent of the vehicle functions by means of a respective sensor-specific detection routine and generates respective state data therefrom and each of the vehicle functions respectively retrieves at least some of the provided state data from the integration component by means of a sensor-independent retrieval routine.

A scenario generation device includes: a real environment scene obtaining unit obtaining a real environment scene, which is a scene that occurs in a real environment, from a travel database that stores travel data of a real vehicle; a filter generation unit generating a filter for filtering candidate scenarios based on a frequency analysis result of analysis target data including the travel data showing the real environment scene; and an evaluation scenario determination unit determining an evaluation scenario by filtering the candidate scenarios comprehensively generated based on a mathematical model using the filter generated by the filter generation unit.

Disclosed herein is an apparatus for controlling standalone-type rear wheel steering (RWS), which includes a vehicle speed detection unit for detecting a vehicle speed by communicating with a sensor installed in a vehicle or an Electronic Control Unit (ECU); a steering angle and steering angular velocity detection unit for detecting steering angles and steering angular velocities of front and rear wheels by communicating with a sensor installed in the vehicle or the ECU; a master cylinder pressure detection unit for detecting a master cylinder pressure by communicating with a sensor installed in the vehicle or the ECU; and a controller for determining braking or turning of the vehicle using the information detected using the sensors or received from the ECU, calculating the amount of toe-in when the vehicle is braking or calculating a rear wheel steering angle when the vehicle is turning, and controlling the RWS based thereon.

In some examples, a controller receives information of a route of a vehicle, and selects a first parameter set from among a plurality of parameter sets based on the route of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the first parameter set to control a setting of the one or more adjustable elements of the vehicle.

A vehicle control system includes: an operation unit disposed in a vehicle and operable by a driver; an operation detection unit configured to detect an operation on the operation unit, and including a displacement unit that is displaced according to an operation amount of the operation unit, and a detection unit that detects a displacement amount of the displacement unit and that outputs a continuous signal according to the displacement amount; and a control unit that inputs the continuous signal detected by the detection unit and performs a predetermined control corresponding to the continuous signal is provided.

A vehicular ECU (electronic control unit) is any one of a plurality of vehicular ECUs connected to an in-vehicle network in a vehicle and includes: a service interface, a service bus, and a service manager. The service interface issues a request of service that uses a function installed in a different vehicular ECU based on a request from the application, and makes the application generate a service as a response to a request of service from the different vehicular ECU. The service bus transmits and receives a message corresponding to a request of service and a response by using a predetermined protocol between the service interfaces of the vehicular ECU and the different vehicular ECU. The service manager achieves the service to be dynamically and interoperably used by managing a position of the service.

A method during which a current position of a pilot control is determined, an equivalent position is determined that the pilot control needs to reach following a control transition in order to avoid modifying the actuator, and at least one mismatch is determined between the equivalent position and the current position. As from a transition, a target is determined for controlling the actuator by giving a corrected value to at least one position variable in a post-transition piloting relationship, the corrected value being determined as a function of the mismatch and of the current position of the pilot control. So long as the mismatch is not zero, the value of the mismatch in the relationship is reduced in proportion to the movement of the pilot control as the pilot control comes closer to the equivalent position.

A dynamic function allocation (DFA) framework balances the workload or achieves other mitigating optimizations for a human operator of a vehicle by dynamically distributing operational functional tasks between the operator and the vehicle's or robot's automation in real-time. DFA operations include those for aviation, navigation, and communication, or to meet other operational needs. The DFA framework provides an intuitive command/response interface to vehicle (e.g., aircraft), vehicle simulator, or robotic operations by implementing a Dynamic Function Allocation Control Collaboration Protocol (DFACCto). DFACCto simulates or implements autonomous control of robot's or vehicle's functional tasks and reallocates some or all tasks between a human pilot and an autonomous system when such reallocation is determined to be preferred, and implements the reallocation. The reallocation is implemented in the event of the human's distraction or incapacitation, in the event another non-nominal or non-optimal cognitive or physical state is detected, or when reallocation need is otherwise-determined.

A system for obtaining a prediction an action (a.sub.t) of a vehicle (V), including a camera for acquiring a sequence of images (F.sub.t) a convolutional neural network visual encoder which obtains a corresponding visual features vector (v.sub.t), one or more sensor that obtains a position of the vehicle (s.sub.t) at the same time step (s.sub.t), a Recurrent Neural Network configured to receive the visual features vector (v.sub.t) and position of the vehicle (s.sub.t) at the time step (t) and to generate a prediction of the action (a.sub.t) of the vehicle (V). The system comprising a command conditioned switch configured upon reception of a control command (c.sub.i) to select a corresponding branch of the Recurrent Neural Network. The system is configured to operate the selected corresponding branch to process the visual features vector (v.sub.t) and position of the vehicle (s.sub.t) at the time step (t) to obtain the prediction of the action (a.sub.t) of the vehicle (V).