A vehicle, in a temporary stop state during driving, is configured to identify a passenger failing to re-board after alighting, and communicate with the passenger to guide the passenger to re-board the vehicle. A method of controlling the vehicle includes primarily checking a number of passengers inside the vehicle through analysis of a first image obtained by photographing an interior of the vehicle when the vehicle enters a stop state during driving; in response to the vehicle being restarted after the stop, secondly checking the number of the passengers inside the vehicle through analysis of a second image obtained by photographing the interior of the vehicle; and in response to the secondly checked number of the passengers being less than the primarily checked number of the passengers, identifying that the passenger failing to re-board after alighting from the vehicle exists.

A stress of a passenger is estimated based on biometric information indicating an emotion of the passenger in an autonomous driving vehicle. A stress target is identified as a cause of the stress disposed outside the autonomous driving vehicle based on information on a direction of a line of sight of the passenger when estimating that the passenger has the stress. The vehicle is controlled to increase a safety margin relating to a travel of the vehicle with respect to the stress target.

A driving assistance method applied to a vehicle is provided. The method includes capturing at least one image of occupants of the vehicle using a camera module. Once occupant attributes of the vehicle are recognized based on the captured image, a driving mode of the vehicle is changed based on the occupant attributes of the vehicle.

Disclosed is a method and apparatus for detecting a state of a vehicle occupant, wherein a bio-signal of an occupant riding in a vehicle may be acquired by executing an artificial intelligence (AI) algorithm or a machine learning algorithm, and a physical change of the occupant may be measured by a movement signal, a respiratory signal, and a heart rate signal from the acquired bio-signal of the vehicle occupant, such that it is possible to control an operation of an internal vehicle device or to control operation of the vehicle so as to correspond to the physical change of the occupant estimated by communicating with the internal vehicle device in a 5G communication environment. According to the present disclosure, the movement signal, respiratory signal, and heart rate signal of the occupant in the vehicle may be extracted via an RF sensor mounted in the vehicle, and the physical state of the occupant may be estimated based on the extracted bio-signal of the occupant, and when the physical state is estimated to be abnormal, the occupant may be informed of the abnormal physical state.

A rear display displays a driver image of a driver to a rear occupant. An operational information acquisition unit acquires operational information for changing a size of the driver image displayed on the rear display. An image control unit changes the size of the driver image displayed on the rear display, on the basis of the operational information acquired by the operational information acquisition unit. A sound control unit controls, at a time of generating a synthetic sound by combining a spoken voice of the driver with a reproduced sound of an AV source, a sound-level ratio between the spoken voice of the driver and the reproduced sound of the AV source, on the basis of the size of the driver image displayed on the rear display. A rear speaker outputs the synthetic sound generated by the sound control unit toward the rear occupant.

An information providing device of an embodiment is an information providing device including an acquirer that acquires personal information of a plurality of occupants in a moving body, a processor that generates integrated personal information by combining at least a part of the personal information of the plurality of occupants acquired by the acquirer, and an information provider that provides information to the plurality of occupants based on the integrated personal information processed by the processor.

Systems and methods for predicting travel patterns of a vehicle or one or more occupants in the vehicle are provided. A transceiver may receive data indicative of at least one of passenger information, vehicle occupancy, vehicle status, and vehicle location from at least one of a voice recognition device, IoT sensors such as seat sensors, vehicle status sensors, or a GPS system. A processor may determine travel patterns based on the data, predict travel patterns based on the determined travel patterns, and generate a database comprising the predicted travel patterns. In addition, the processor may generate an alert if the determined travel pattern deviates from the predicted travel patterns.

A display control apparatus which controls a display of a plurality of captured images captured by one or a plurality of image capturing apparatuses installed inside of a movable body includes a determination unit configured to determine whether movement of the movable body is stopped, and a display control unit configured to control the display of the plurality of captured images on a display unit so that a first captured image having an angle of view for capturing a side of the movable body from the inside of the movable body and a second captured image different from the first captured image are selectively displayed among the plurality of captured images based on at least a result of the determination by the determination unit.

An example operation includes one or more of determining, by a transport, data to be forwarded to one or more devices associated with each of one or more occupants based on a type of the data and characteristics of the one or more occupants, and forwarding, by the transport, one or more portions of the data based on the determining.

Implementations described herein relate to generating candidate suggestion(s) that are personalized to a given user locally at an in-vehicle computing device of a vehicle of the given user. For example, implementations can identify an occurrence of a given suggestion state, generate the candidate suggestion(s) that are personalized to the user for the given suggestion state, store the candidate suggestion(s) in on-device storage of the in-vehicle computing device in association with the given suggestion state, and cause a given one of the candidate suggestion(s) to be provided for presentation to the given user. Accordingly, upon a subsequent occurrence of the given suggestion state, implementations can obtain the candidate suggestion(s) stored in association with the given suggestion state, and cause the given one of the candidate suggestion(s), or an additional one of the candidate suggestion(s), to be provided for presentation to the given user.