A method for setting a tuning parameter for an Automated Driving System (ADS) of a vehicle is disclosed. A corresponding non-transitory computer-readable storage medium, vehicle control device and a vehicle comprising such a control device are also disclosed. The method comprises receiving environmental data from a perception system of the vehicle, said environmental data comprising a plurality of environmental parameters, determining, by means of a self-learning model, an environmental scenario based on the received environmental data; setting the tuning parameter for the ADS based on the self-learning model and the determined environmental scenario, the tuning parameter defining a dynamic parameter of the ADS, receiving at least one signal representative of a vehicle user feedback on the set tuning parameter, and updating the self-learning model for the set tuning parameter for the identified environmental scenario based on the received vehicle user feedback.

In one or more embodiments, a method comprises receiving, at a processor, an input signal from an input device in response to a first actuation of the input device by a driver of an autonomous vehicle. The input device is a device disposed with the autonomous vehicle and has a second actuation of the input device associated with a standard operation of the input device. The second actuation has an actuation pattern different from an actuation pattern of the first actuation. In response to the input signal, a determination is made by the processor to determine whether the autonomous vehicle can perform a maneuver safely. In response to determining that the autonomous vehicle can perform the maneuver safely, a signal is sent by the processor to cause the autonomous vehicle to perform the maneuver.

A vehicle control device includes a first inputter, a second inputter, a mode controller configured to, when the first inputter is operated by a user, determine a driving mode of a vehicle as a first mode, and when the second inputter is operated by the user in the first mode, switch the driving mode from the first mode to a second mode, and a driving controller configured to control at least one of a steering and speed of the vehicle, and the driving controller is configured to control a steering and speed of the vehicle and prohibit change of a path of the vehicle when the driving mode is the first mode, and control a steering and speed of the vehicle and change of the path of the vehicle is allowed when the driving mode is the second mode.

A method for selecting a driving profile of a motor vehicle, a driver assistance system therefor and a motor vehicle equipped therewith is disclosed. In the method and based on an operating action by a driver, a deviation between the number of predetermined driving profiles currently desired by the driver and that previously used is recognized. After the deviation has been recognized, a query is output to the driver as to whether the deviation should be taught by the driver assistance system for the current situation. After the query has been confirmed by the driver, the driver assistance system is accordingly adapted for the current situation in at least one parameter influencing the selection of the driving profile to be used such that the deviation in the automatic selection of the driving profile to be used in future situations that correspond to the current situation is taken into account.

Systems and methods for adaptive cruise control based on user defined parameters are disclosed. An example disclosed vehicle includes a GPS receiver configured to provide a location of the vehicle, an adaptive cruise control; and a cruise control adjuster. In the example cruise control adjuster is configured to generate an action when a cruise control event is defined for the location. In the disclosed example the cruise control event is based on past changes to the adaptive cruise control at the location. The example cruise control adjuster is also configured to apply the action to the adaptive cruise control to change how the adaptive cruise control controls the vehicle.

The vehicle control system/method for adapting a control function based on a user profile may comprise: a gesture recognition module; a user profile module; a function control module; a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the system to: identify a user; retrieve a user profile for the identified user; receive at a gesture recognition module, an input indicating a gesture from the user; identify a control function request corresponding to the gesture input; send a verification of the control function request; and receive at a function control module characteristics parsed from the user profile that effect the control function request by the user profile module to adapt a control function command for an adapted control function output by the function control module.

The vehicle control system/method for adapting a control function based on a user profile may comprise: a gesture recognition module; a user profile module; a function control module; a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the system to: identify a user; retrieve a user profile for the identified user; receive at a gesture recognition module, an input indicating a gesture from the user; identify a control function request corresponding to the gesture input; send a verification of the control function request; and receive at a function control module characteristics parsed from the user profile that effect the control function request by the user profile module to adapt a control function command for an adapted control function output by the function control module.

A method and a device for controlling autonomous driving in an autonomous driving vehicle are provided. The method may include collecting state recognition information during travel, receiving information on a driver-requested automation level, determining a currently applicable maximum automation level based on the collected state recognition information, comparing the driver-requested automation level with the currently applicable maximum automation level to determine whether automation level downward adjustment is required, and adjusting an automation level downward to perform the autonomous driving when it is determined that the automation level downward adjustment is required.

A device and a method for controlling autonomous driving in an autonomous vehicle are provided. The method may include collecting recognition information during the autonomous driving, determining whether a change in an automation level is required based on the collected recognition information, displaying a predetermined message on a screen when it is determined that the change in the automation level is required, and performing the autonomous driving by changing the automation level when it is determined that the change in the automation level is required.

A vehicle control system and method display a map within a designated viewing area of a display device. The map provides information on a location of a vehicle and restrictions on vehicle movement. Prompts for response from a vehicle operator are displayed with the map. The prompts are based on the vehicle location and/or the movement restrictions. The are displayed on the vehicle display device but outside of the designated viewing area of the vehicle display device. Operator input is received in response to the one or more prompts to verify that the vehicle is moving according to the one or more restrictions on the movement of the vehicle.