An autonomous un-parking system and method of a vehicle that identify a user when un-parking a parked vehicle to propose a user-based boarding location, and control user-customized autonomous un-parking, may include a communication terminal of a user, a communication device disposed in a vehicle to receive an un-parking request of the vehicle from the communication terminal, and a controller disposed in the vehicle to determine a boarding location based on the user in a response to the un-parking request, and to control un-parking of the vehicle to the determined boarding location.

According to the present invention, a system for detecting an occupant left unattended in a vehicle, including a first detection unit that detects a situation in which a vehicle is stopped or parked; a carbon dioxide measurement unit that measures carbon dioxide concentration inside the vehicle; and a determination unit that detects the first detection unit's detection of the situation in which the vehicle is stopped or parked, and determines whether or not an occupant is left unattended in the vehicle based on the carbon dioxide concentration measured by the carbon dioxide measurement unit is disclosed.

A method, apparatus and computer program product are provided for improving user experiences for autonomous driving. In context of a method, the method determines one or more autonomous transition region parameters for a respective autonomous transition region along a route. The method also, based on the one or more autonomous transition region parameters, determines whether an action is to be performed by a vehicle in accordance with user preference data associated with a user. The method also causes the vehicle to perform the action in accordance with a determination that the action is to be performed by the vehicle.

A method for automatically controlling an in-cabin environment for a passenger in an autonomous vehicle includes monitoring a state of the passenger via a video sensor; determining whether the state of the passenger corresponds to one of preset states of a predetermined number; and adjusting, when the state corresponds to the one of the preset states, any one or any combination of any two or more of a seat, an air conditioning system, a lighting system, a sound system, a variable window tinting, and a variable sunroof of the autonomous vehicle based on the state. The determining of the state of the passenger includes detecting a plurality of determination target objects from a video of the video sensor, cropping an image of each of the plurality of determination target objects, and determining whether the state of the passenger corresponds to the one of the preset states.

Methods and systems are provided for adjusting noise, vibration, and harshness (NVH) limits for a vehicle based on an occupancy level of the vehicle. The occupancy level is inferred based on a number of occupants and their position within a vehicle, and further based on a degree of interaction of a primary occupant with vehicle controls. As the occupancy level decreases, NVH constraints for operating the vehicle are reduced and one or more vehicle operating parameters nay be based on the reduced NVH constraints.

A method is provided for optimizing the use of autonomous features of advanced driver assistance systems and the tracking thereof. For example, a vehicle may be equipped with several driver assistance systems in which a driver of the vehicle may be assisted. The vehicle may automatically change the number of active assistance systems or suggest to the driver one or more assistance systems to activate based on several factors, including poor driving on behalf of the driver or poor driving conditions due to weather or road quality. Statistics regarding the use of such advanced driver assistance systems may be monitored and tracked and stored on an onboard database or transmitted continuously or periodically to various entities. For example, the system may operate to allow an insurance company to track the driving performance and the use of the advanced driver assistance systems to update actuarial models to more accurately adjust rates.

Systems and methods for controlling a failover response of an autonomous vehicle are provided. In one example embodiment, a method includes determining, by one or more computing devices on-board an autonomous vehicle, an operational mode of the autonomous vehicle. The autonomous vehicle is configured to operate in at least a first operational mode in which a human driver is present in the autonomous vehicle and a second operational mode in which the human driver is not present in the autonomous vehicle. The method includes detecting a triggering event associated with the autonomous vehicle. The method includes determining actions to be performed by the autonomous vehicle in response to the triggering event based at least in part on the operational mode. The method includes providing one or more control signals to one or more of the systems on-board the autonomous vehicle to perform the one or more actions in response to the triggering event.

The invention relates to a method for operating a motor vehicle system of a motor vehicle regardless of the driving situation. The method is performed by a personalization device of the motor vehicle and includes identifying the driver of the motor vehicle and using the identity of the driver to determine multiple driver-specific configuration data sets. Each of the determined configuration data sets describes configuration data of a respective user profile of the identified driver in order to personalize the motor vehicle system. The method further includes determining at least one additional occupant in the motor vehicle and using the result of the determination of the at least one occupant, determine an intention of the determined driver. The method further incudes using the determined intention to select a personalization mode from a plurality of personalization modes.

An autonomous driving vehicle includes a main vehicle part, a processor, and a memory storing thereon a computer program, which when executed by the processor, causes the processor to perform operations. The operations include detecting a gesture made, to try to stop the main vehicle part, by a person present near a road on which the main vehicle part is running, determining whether there is a passenger in the main vehicle part, and controlling autonomous driving of the main vehicle part. In a case where it is determined that there is no passenger in the main vehicle part, when a person making the gesture is detected, the controlling controls the main vehicle part to stop near the person.

An autonomous vehicle, including a vehicle body, a wheel supported by the vehicle body, a steering mechanism configured to change a travel direction, a driving/braking force generating device configured to generate a driving force or a braking force to drive or decelerate the autonomous vehicle, a plurality of seats each configured to be sat on by a passenger, and an autonomous driving controller configured to control the steering mechanism and the driving/braking force generating device to autonomously drive the autonomous vehicle without any driver's manipulation. The autonomous driving controller is configured to determine whether or not to control the driving/braking force generating device to change the autonomous vehicle from a stopped state to a run state, based on (1) at least one of a number of passengers, a maximum capacity, or a scheduled number of passengers, and (2) at least one of a number of sitting passengers or a number of ready-state-expressing passengers.