Provided is a method for use by a driving assistance apparatus that assists a transition from an autonomous driving mode in which a vehicle is driven under autonomous control to a manual driving mode in which the vehicle is driven by a driver. The method includes: detecting an activity by the driver; detecting conditions of the driver; and determining a take-over request method which is a method of presenting, in the vehicle, a take-over request that informs the driver that the autonomous driving mode is going to be cancelled, the determining being based on at least the detected activity by the driver and the detected conditions.

The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle that receives a plurality of indications of a condition of one or more features of a plurality of locations of a roadway, respectively, encoded in a plurality of navigation signals broadcast by a plurality of transmitters as the CA/AD vehicle drives past the locations enroute to a destination. The CA/AD vehicle may then determine, based in part on the received indications, driving adjustments to be made and send indications of the driving adjustments to a driving control unit of the CA/AD vehicle.

A driver assistance system for at least semi-automatically coupling a two-track motor vehicle to a trailer has an electronic control unit. The system is configured to undertake the transverse guidance and/or the longitudinal guidance of the motor vehicle reversing toward the trailer, in particular by automatically adjusting an appropriate vehicle steering angle and/or by appropriate interventions in the drive and braking system of the motor vehicle, by evaluating signals of a vehicle-internal reversing camera. The control unit has a functional unit, which is configured, in particular by corresponding programming, such that the signals of a vehicle-external camera of a portable electronic mobile radio unit can be detected, and these signals can then be converted into the data form of the signals of a vehicle-internal reversing camera. A driver assistance system, which is designed for a vehicle having a reversing camera, can therefore be used even in a vehicle without a reversing camera or in the event of a faulty reversing camera.

A method, apparatus and computer program for producing driver information, where at least some of the driver information is produced in the form of haptic driver information on a control means of a vehicle, includes ascertaining a measure of a haptic contact between the driver of the vehicle and the control means for controlling the vehicle and producing the driver information based on the ascertained measure of the haptic contact between the driver and the control means on the control means as haptic driver information and/or producing auxiliary driver information that corresponds to the driver information and that is perceptible to the driver via a different perception channel.

The disclosure relates to a method, a device and a motor vehicle for controlling at least one vehicle system of the motor vehicle during a drive, wherein each vehicle system is respectively adapted to perform a driving maneuver of the motor vehicle and for each vehicle system a control responsibility determines, in which proportion a driver and a driver assistance system of the motor vehicle each controls the vehicle system, the method comprising the steps of: providing an assignment specification with which a control responsibility is assigned for different driving situations in each case for each vehicle system; identifying an instantaneous driving situation while driving and determining the respectively assigned control responsibility in each vehicle system according to the assignment specification; receiving control instructions from the driver and from the driver assistance system for each vehicle system; and for each vehicle system, superposing control instructions from the driver and from the driver assistance system intended for said vehicle system in accordance with the control responsibility.

A machine control system includes an agricultural work machine having an ECU coupled via a system bus to control engine functions, a GPS receiver, data collector, and specialized guidance system including a stored program. The data collector captures agricultural geospatial data including location data for the work machine and data from the ECU, and executes the stored program to: (a) capture geometries of the farm; (b) capture agricultural geospatial data; (c) automatically classify the agricultural geospatial data using the geometries of the farm, into activity/event categories including operational, travel, and ancillary events; (d) aggregate the classified data to create geospatial data events; (e) match the geospatial data events to a model to generate matched events; (f) use the matched events to generate actionable information for the working machine in real time or near real-time; and (g) send operational directives to the agricultural work machine based on the actionable information.

An overall machine operational state (such as a problem state, field state, machine state, other non-problem state, etc.) is identified, and exit and entry conditions are monitored to determine whether the machine transitions into another operational state. When the machine transitions into a problem state, a multiple input, multiple output control system uses a state machine to identify the problem state and a solution is identified. The solution is indicative of machine settings that will return the machine to an acceptable, operational state. Control signals are generated to modify the machine settings based on the identified solution.

In one example a system for emotional adaptive driving policies for automated driving vehicles, comprising a first plurality of sensors to detect environmental information relating to at least one passenger in a vehicle and a controller communicatively coupled to the plurality of sensors and comprising processing circuitry, to receive the environmental information from the first plurality of sensors, determine, from the environmental information, an emotional state of the at least one passenger, and implement a driving policy based at least in part on the emotional state of the at least one passenger. Other examples may be described.

A vehicle control device includes: a signal processing IC unit that outputs image processing data; a recognition processing IC unit that performs recognition processing of the external environment of a vehicle to output external environment data obtained through the recognition processing; a judgment processing IC unit that performs judgment processing for cruise control of the vehicle; a power management unit capable of controlling an on or off state of a recognition function of the external environment of the vehicle in the recognition processing IC unit according to the conditions of the vehicle; and a bypass path for enabling data communications from the signal processing IC unit to the judgment processing IC unit without performing the recognition processing of the external environment of the vehicle by the recognition processing IC unit.

A vehicle control device includes a plurality of IC units, while maintaining the operational reliability. The vehicle control device includes an IC unit for performing image processing on outputs from cameras; an IC unit for performing recognition processing of an external environment of the vehicle; and an IC unit for performing judgment processing for cruise control of the vehicle. A control flow is provided so as to allow the IC unit to transmit a control signal to the IC units and. The control flow is provided separately from a data flow configured to transmit the output from the cameras, the image data, and the external environment data.