A method for assisting a user in an interaction with an apparatus including at least one automated and/or partially automated and/or manual operating state by way of a control device. A possible change or a compulsory change of operating state of the apparatus is ascertained, an escalation level for the change of operating state of the apparatus is ascertained, the ascertained change of operating state and the escalation level are signaled to the user by a dynamic indicator. A control device, a computer program, a machine-readable storage medium, and an indicator are also described.

A method for assisting a user in an interaction with an apparatus including at least one automated and/or partially automated and/or manual operating state by way of a control device. A possible change or a compulsory change of operating state of the apparatus is ascertained, an escalation level for the change of operating state of the apparatus is ascertained, the ascertained change of operating state and the escalation level are signaled to the user by a dynamic indicator. A control device, a computer program, a machine-readable storage medium, and an indicator are also described.

To implement a configuration to calculate a manual driving recoverable time required for a driver who is executing automatic driving in order to achieve a requested recovery ratio (RRR) for each road section, and issue a manual driving recovery request notification on the basis of the calculated time. A data processing unit is included, which calculates a manual driving recoverable time required for a driver who is executing automatic driving in order to achieve a predefined requested recovery ratio (RRR) from automatic driving to manual driving and determines notification timing of a manual driving recovery request notification on the basis of the calculated time. The data processing unit acquires the requested recovery ratio (RRR) for each road section set as ancillary information of a local dynamic map (LDM), and calculates the manual driving recoverable time for each road section scheduled to travel, using learning data for each driver.

To implement a configuration to calculate a manual driving recoverable time required for a driver who is executing automatic driving in order to achieve a requested recovery ratio (RRR) for each road section, and issue a manual driving recovery request notification on the basis of the calculated time. A data processing unit is included, which calculates a manual driving recoverable time required for a driver who is executing automatic driving in order to achieve a predefined requested recovery ratio (RRR) from automatic driving to manual driving and determines notification timing of a manual driving recovery request notification on the basis of the calculated time. The data processing unit acquires the requested recovery ratio (RRR) for each road section set as ancillary information of a local dynamic map (LDM), and calculates the manual driving recoverable time for each road section scheduled to travel, using learning data for each driver.

A parking assist system includes a control device. The control device continues an automatic parking process as a driver releases an operation on a brake pedal in a case where an obstacle is detected in a suspension area and an operation amount of the brake pedal has been equal to or more than a second threshold. The control device causes a brake device to stop a vehicle with a second brake force and suspends the automatic parking process in a case where the obstacle is detected in the suspension area and the operation amount of the brake pedal is less than the second threshold. The control device causes the brake device to stop the vehicle and cancels the automatic parking process in a case where the obstacle is detected in a cancellation area and the operation amount of the brake pedal is less than a first threshold.

A parking assist system includes a control device. The control device continues an automatic parking process as a driver releases an operation on a brake pedal in a case where an obstacle is detected in a suspension area and an operation amount of the brake pedal has been equal to or more than a second threshold. The control device causes a brake device to stop a vehicle with a second brake force and suspends the automatic parking process in a case where the obstacle is detected in the suspension area and the operation amount of the brake pedal is less than the second threshold. The control device causes the brake device to stop the vehicle and cancels the automatic parking process in a case where the obstacle is detected in a cancellation area and the operation amount of the brake pedal is less than a first threshold.

A system is provided generating a context-dependent experience for a vehicle driver, e.g., to relax or enhance the driver's mental state. A system controller is configured to receive driving context data regarding a driving situation from various driving context data sources. The driving context data may include vehicle operation data, e.g., generated by vehicle-based sensors, and environmental data regarding an environment external to the vehicle, e.g., received wirelessly from a remote server. The system controller may identify content triggering events based on (a) the received driver context data and (b) a set of content triggering rules. For each content triggering event, the system controller may select one or more human-perceivable contents elements (e.g., audio clips, seat massage settings, or air conditioner settings), and control one or more content output devices (e.g., speakers, seat massage system, or vehicle HVAC system) to output the selected content element(s) to the driver.

A system is provided generating a context-dependent experience for a vehicle driver, e.g., to relax or enhance the driver's mental state. A system controller is configured to receive driving context data regarding a driving situation from various driving context data sources. The driving context data may include vehicle operation data, e.g., generated by vehicle-based sensors, and environmental data regarding an environment external to the vehicle, e.g., received wirelessly from a remote server. The system controller may identify content triggering events based on (a) the received driver context data and (b) a set of content triggering rules. For each content triggering event, the system controller may select one or more human-perceivable contents elements (e.g., audio clips, seat massage settings, or air conditioner settings), and control one or more content output devices (e.g., speakers, seat massage system, or vehicle HVAC system) to output the selected content element(s) to the driver.

A method for diagnosing whether or not a judder detection module mounted on a vehicle is operating normally includes receiving a diagnosis request requesting that the judder detection module of the vehicle be diagnosed; preparing for an execution environment for diagnosis of the judder detection module; activating the judder detection module; forcibly generating judder in the vehicle; and determining whether or not the judder detection module operates.

A method for diagnosing whether or not a judder detection module mounted on a vehicle is operating normally includes receiving a diagnosis request requesting that the judder detection module of the vehicle be diagnosed; preparing for an execution environment for diagnosis of the judder detection module; activating the judder detection module; forcibly generating judder in the vehicle; and determining whether or not the judder detection module operates.