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 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.

An update management apparatus for a vehicle includes: a first cooperative controller configured to first determine whether a vehicle controller is updatable based on a state of a low-voltage battery at a predetermined interval during vehicle driving; a management controller configured to receive a first determination result from the first cooperative controller, and when the vehicle controller is updatable, to request user approval during ignition-off of the vehicle, to update the vehicle controller; and a second cooperative controller configured to display an approval window for the user approval.

A control customization system 80 customizes a plant control. A profiler 81 predicts actions of a user depending on situations of the plant or the user. A planner 82 determines an appropriate set of objectives which represent tasks desired by the user, and objective terms representing elements for controlling the plant so as to realize the objectives, and tunes the objective terms based on predictions of the profiler 81.

A method for controlling a hybrid vehicle including a battery charged with electric power generated by an engine, including a motor as a drive source, and having multiple running modes that can be selected through a mode operation, the running modes including a normal mode configured to perform charging of the battery according to a running state, and a charge mode configured to perform electric power generation by the engine according to a mode operation, the method comprising: setting a range of charge amount that allows for charging of the battery based on the electric power generated; and setting an upper limit of the range of charge amount in the charge mode to be lower than an upper limit of the range of charge amount in the normal mode.

An HMI control device, which controls an HMI device mounted on a vehicle. The HMI device presents information to a driver of the vehicle in a recognizable manner. The vehicle is capable of automated driving and travels following a preceding vehicle at a speed equal to or lower than a predetermined speed. The HMI control device is configured to: present attention information for calling attention of the driver when a congestion is determined to be cleared; acquire a behavior of the driver; and end a second task presented on the HMI device at an end timing corresponding to the behavior of the driver acquired after presentation of the attention information.

An automatic vehicle speed control system for use in a vehicle having an implement is disclosed. The automatic vehicle speed control system includes: a controller configured to: set a speed of the vehicle to a creep setting; monitor one or more operating conditions of the implement; and automatically adjust the speed of the vehicle based on the one or more operating conditions of the implement.

Methods and systems are provided for controlling an autonomous vehicle. In one embodiment, a method includes: identifying, by a processor, at least one constraint on a longitudinal dimension of an upcoming road; defining, by the processor, constraint activation logic based on a type of the at least one constraint; performing, by the processor, the constraint activation logic to determine a state of the constraint to be at least one of active and inactive; when the state of the constraint is active, validating, by the processor, a motion plan of the autonomous vehicle based on the constraint; and selectively controlling the autonomous vehicle based on the validating of the motion plan.

A method of switching a control right according to a driving mode of a vehicle in a control right switching system operated by at least one processor is provided. Upon receiving a command to switch a driving mode of a vehicle being in any one driving mode of a manual driving mode or an autonomous driving mode, a torque value of a control unit that controls the vehicle according to a current driving mode of the vehicle is initialized. Furthermore, after transferring a driving mode control right of the vehicle from a vehicle to a driver or from the driver to the vehicle by increasing or reducing a vehicle control right to control the vehicle, whether to switch the driving mode is determined through monitoring information obtained by the control unit in the vehicle whose driving mode was switched during a predetermined time period.

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.