A processor unit (3) is configured to execute an autonomous driving function of the motor vehicle (1) during a first instance such that the motor vehicle (1) travels autonomously based at least in part on the execution of the autonomous driving function. The processor unit (3) is further configured to store a driver intervention, the driver intervention being performed by a driver of the motor vehicle (1) during the first instance while the motor vehicle (1) travels autonomously based on the execution of the autonomous driving function. Additionally, the processor unit (3) is configured to execute the autonomous driving function during a second instance, subsequent to the first instance, based at least in part on the stored driver intervention such that the motor vehicle (1) travels autonomously based at least in part on the execution of the autonomous driving function according to the stored driver intervention.

A control unit for controlling a driving function of a vehicle is designed to automatically guide the vehicle longitudinally and/or transversely. The control unit is designed to determine that the driver of the vehicle is presently activating or deactivating, and/or intends to activate or deactivate, the driving function. In response thereto, the control unit is additionally designed to cause a manual control intervention produced by the driver of the vehicle in the longitudinal and/or transversal guidance of the vehicle to be at least partly compensated for and/or suppressed prior to the point in time of the activation or deactivation of the driving function in order to adapt the drive behavior of the vehicle during the transition between the manual longitudinal and/or transversal guidance and the automatic longitudinal and/or transversal guidance.

A vehicle-user interaction system for a vehicle includes: an editor configured to receive one or more inputs from a user of the vehicle and edit the one or more inputs into a rule script, the rule script including a user-defined rule based on the one or more inputs, the user-defined rule defining a trigger condition and a vehicle operation performed when the trigger condition is satisfied; a parser configured to create a list of monitoring elements and a list of functional elements based on the rule script, the list of monitoring elements including sensor elements that directly or indirectly describe the trigger condition, and the list of functional elements including functional elements that are associated with the vehicle operation; and an actuator configured to monitor sensor detection information associated with the sensor elements, determine whether the trigger condition is satisfied, and execute the functional elements to implement the user-defined rule in the vehicle.

A control device for a vehicle includes an upper limit value setting unit configured to set an upper limit value of an acceleration or deceleration of the vehicle, and a vehicle controller configured to control the vehicle such that the acceleration or deceleration does not exceed the upper limit value. The upper limit value setting unit is configured to change the upper limit value according to at least one predetermined condition.

A system includes a processor and a memory storing instructions executable by the processor to control at least one of a steering system or a propulsion system to operate a vehicle at a speed below a speed threshold. The instructions include instructions to determine whether one or more second vehicles a first distance from the vehicle are traveling below the speed threshold. The instructions include instructions to, upon determining the second vehicles are traveling below the speed threshold, continue to control the steering system or the propulsion system. The instructions include instructions to, upon determining the second vehicles are not traveling below the speed threshold, transition control of the steering system or the propulsion system to a human operator of the vehicle.

System, methods, and other embodiments described herein relate to improving automated driving by testing for inputs during driving. In one embodiment, a method includes testing an input from a driver in a manual driving mode of a vehicle. The method also includes adapting a fixed time interval on a condition that a test result of the input satisfies criteria used to validate driver inputs. The method also includes monitoring, via an input system of the vehicle, for driver feedback according to the fixed time interval in an automated driving mode.

Disclosed are a drunk driving prevention system and a drunk driving prevention method using the system that includes a sensor module measuring the alcohol content in exhaled breath of a driver at the time of breath-checking of the driver and a control module configured to check an intoxication state of the driver based on the alcohol content measured by the sensor module to determine whether or not a breath-checking is complete and block an engine start when the breath-checking fails, wherein the control module includes a bypass control unit switching a vehicle into a drivable state when the breath-checking fails.

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.

A software update system according to one embodiment of the present disclosure is configured to update software used in a vehicle based on update data of the software, the update data being transmitted to the vehicle from an external device that is communicably connected to the vehicle. The software update system includes: a software update unit configured to update the software based on the update data; a vehicle data acquisition unit configured to acquire respective pieces of second vehicle data about states of the vehicle before and after the software update by the update unit; and an effect evaluation unit configured to evaluate an effect of the software update based on the respective pieces of second vehicle data before and after the software update.

A system generates haptic feedback in an electric vehicle. The system comprises a frame, an energy storage device, and a wheel rotatably coupled to the frame. A motor receives power from the energy storage device and provides torque to the wheel. A controller determines a first operational state of the electric vehicle and transmits a first torque signal to the motor to control the motor to transmit first torque levels to the wheel to propel the electric vehicle. The controller determines a second operational state of the electric vehicle and transmits a second torque signal to the motor assembly. The motor assembly transmits second torque levels to the wheel to generate haptic feedback. The second torque signal is based on the second operational state of the electric vehicle and a torque profile stored in the memory, where the torque profile defines an irregular-shaped periodic waveform (e.g., a heartbeat rhythm).