A method is disclosed for operating a motor vehicle having a plurality of driver assistance systems, wherein the method includes setting, via an operator interface of the motor vehicle, an assistance degree parameter, which indicates the extent to which support for a driver by the driver assistance systems is desired. The method also includes setting, via the operator interface of the motor vehicle, at least one additional parameter, which is related to the driving operation of the motor vehicle. The method additionally includes specifying, by a processing device of the motor vehicle, at least one operating parameter for each driver assistance system, in accordance with which operating parameter the driver assistance system is operated, as a function of the assistance degree parameter and the additional parameter(s). A motor vehicle is also disclosed that performs the method.

A work vehicle includes an override operation sensor that senses override operation to carry out switching between an automatic driving mode and a manual driving mode and a selection device for selecting any one of the manual driving mode, a manned automatic driving mode, and an unmanned automatic driving mode, as the driving mode of a dump truck. A controller carries out switching from the manned automatic driving mode to the manual driving mode when override operation is sensed by the override operation sensor in the case in which the manned automatic driving mode is selected by the selection device, and continues the unmanned automatic driving mode when override operation is sensed by the override operation sensor in the case in which the unmanned automatic driving mode is selected by the selection device.

The present disclosure provides a method and an apparatus for vehicle control. The method includes: obtaining (101) manual operation information of a vehicle; determining (102) an intervention intention of a driver based on the manual operation information; and controlling (103), when the vehicle is currently in an automated driving mode and the intervention intention is determined to be a slow intervention, the vehicle to reach a predetermined safe state and handing corresponding control of the vehicle over to the driver. The method and apparatus can solve potential safety problems in vehicle control and improve safety of the vehicle control.

The subject disclosure relates to techniques for positioning an autonomous vehicle for sensor calibration. A process of the disclosed technology can include steps for positioning an autonomous vehicle along a first axis on a platform in a predetermined environment using guide rails, positioning the autonomous vehicle along a second axis on the platform using one or more elevated platform features, inserting one or more lifting alignment pins of a lifting mechanism into one or more sockets located on an underbody of the autonomous vehicle, and positioning the autonomous vehicle along a third axis using the lifting mechanism. Systems and machine-readable media are also provided.

A system includes a processor configured to receive a first set of user-selected parameters, including first user-defined parameter values, the first set defining a condition for engaging a specific user-selected vehicle driving mode. The processor is also configured to receive data indicating current parameter values and automatically engage the user-selected vehicle driving mode responsive to the current parameter values matching first user-defined parameter values.

A travel control method for executing autonomous lane change control of a vehicle includes, before performing two or more successive lane changes, presenting the driver with first lane change information as to whether or not to accept execution of autonomous control of the successive lane changes; when detecting a first acceptance input made by the driver indicating that the driver accepts the execution of the autonomous control, executing first autonomous lane change control; then presenting the driver with second lane change information as to whether or not to accept execution of the autonomous lane change control after the first lane change; and when detecting a second acceptance input made by the driver, executing the autonomous lane change control after the first lane change. An action load of the second acceptance input is set smaller than an action load of the first acceptance input.

A system and computer-implemented method detect and act upon operator responsiveness to vehicle alerts. The system and method include determining that an Advanced Driver Assistance system (ADAS) of a vehicle generated an alert for a driving activity. The system and method may include logging a first set of measurements data associated with the alert of the ADAS in a database saved in a memory. The system and method may compare a portion of the first set of measurements data with a portion of the second set of measurements data, determine a driving metric for an operator of the vehicle based upon the comparing, and set at least a portion of an operator profile associated with the operator with the driving metric. As a result, risk averse driver, and/or proper responsiveness to vehicle alerts may be rewarded with insurance-cost savings, such as increased discounts.

Methods, systems, and networks for controlling design and manufacture of mechanically and electrically compliant VCM-based vehicles, in which a user manually and explicitly defines at least one vehicle characteristic and at least one VCM characteristic. User selection of one or more vehicle characteristics ensures that the selection of VCM characteristics will be that of VCM characteristics compatible with the selected vehicle characteristics. Similarly, user selection of one or more VCMs or VCM characteristics ensures that the selection of vehicle characteristics will be that of vehicle characteristics compatible with the selected VCM or VCM characteristics.

A method is described for calibrating a vehicle control unit, a data exchange taking place via a voltage supply line connected to the vehicle control unit, as well as a vehicle control unit, which is configured to carry out a data exchange for calibrating the vehicle control unit via a voltage supply line connected to the vehicle control unit with the aid of a communication signal (powerline communication) modulated to the supply voltage. A corresponding measuring and calibration system is also described.

According to a method for learning travel characteristics and a travel assistance device, in a vehicle capable of switching manual driving by a driver and autonomous-driving, continuity of driving characteristics is determined based on travel data during manual driving by a driver, and a start time and an end time of learning target data, being a learning target of the driving characteristics of the travel data, are set by using a determination result of the continuity.