A leaning-against-vehicle door detection system includes an imager and a determination device. The imager has an image pickup range including a door of a vehicle and the vicinity of the door inside a vehicle cabin. The determination device determines whether or not there is a passenger or luggage leaning against the door, from an image picked up by the imager.

An approach is provided for minimizing potential vehicle accident impacts based on accident/road link correlation and/or contextual data. The approach, for example, involves processing accident data, topology data, or a combination thereof associated with a road link to determine a potential negative impact on a passenger of a vehicle, the vehicle, or a combination thereof resulting from a potential accident on the road link. The approach also involves determining a seating position within the vehicle for the passenger, a navigation route for the vehicle, an activity for the passenger to perform or avoid while in the vehicle, a dynamic seat repositioning, or a combination thereof based on the potential negative impact. The approach further involves providing the seating position, the navigation route, the activity for the passenger, a dynamic seat repositioning, or a combination thereof as an output.

An imaging section 20 images a passenger in a moving body. A boarding state detection section 30 detects a boarding state of the passenger on the basis of a captured image acquired by the imaging section 20. An allowable acceleration setting section 40 sets, for each passenger, individual allowable acceleration on the basis of the boarding state of the passenger detected by the boarding state detection section 30, for example, the lateral spacing between the feet of the passenger, the arrangement angle of the feet with respect to the moving direction of the moving body, and the like. Further, integration is performed on the individual allowable acceleration determined for the respective passengers in the moving body, and the acceleration that is allowable for the moving body is set. The allowable acceleration for the moving body is set according to the boarding state of each passenger, thus preventing the moving body from moving at acceleration at which the passengers may be endangered. This allows the safety of the passengers to be improved.

A method of controlling vehicle driving, when a plurality of occupants is in the vehicle, by implementing components required for vehicle driving control as holographic images to ensure a maximum space in an autonomous vehicle, may include steps of requesting, by a first occupant currently having no driving control authority, a transfer of the authority by use of a holographic image, accepting, by a second occupant currently having the driving control authority, the transfer of the authority by use of the holographic image, selecting, by the first occupant, a mode by use of the holographic image based on the acceptance by the second occupant, and performing vehicle control in accordance with the mode selected by the first occupant, and the holographic images in the respective steps are displayed to the occupants wearing an HMD device.

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 driver improvement system and method where a driver's efficiency, for example in effective regenerative braking, is scored and recorded. Incentives may be provided to the driver or the fleet operator for which the driver works to encourage more efficient driving. The driver's score is portable to that the score moves with the driver from employer to employer.

A method for monitoring a passenger compartment. The method includes: monitoring a passenger compartment and recognizing a vehicle occupant with the aid of a monitoring device, determining an abstracted model of the vehicle occupant based on data of the monitoring device, detecting a critical situation in the passenger compartment, taking one or more snapshots of the critical situation utilizing the monitoring device, transmitting the abstracted model of the vehicle occupant and the one or more snapshots to a server and/or storing the abstracted model of the vehicle occupant and the one or more snapshots in a storage unit and/or initiating a defined action.

An object detection device for detecting at least one object (e.g. moving), in form of a vehicle occupant or in form of at least a part of the vehicle occupant, in the interior of a motor vehicle, includes a camera system comprising at least one sensor for converting electromagnetic radiation into electrical signals and a lighting device with at least one light source and an optic system, and a control or regulating device which is designed to receive one or more of the electrical signals from the camera system or data from at least one sensor, at least one further device or at least one device of the motor vehicle, to generate control commands and to transmit them to the camera system, the at least one further device or the at least one device of the motor vehicle.

An alertness level that is the consciousness level of the driver of a vehicle is determined, and the timing of a manual driving return request notification is controlled in accordance with the alertness level. A data processing unit determines the alertness level of the driver of the vehicle, and records evaluation data. The data processing unit acquires observation information about the driver, determines the alertness level of the driver, and evaluates and records the return rate at each time. The vehicle is a vehicle capable of switching between automatic driving and manual driving, and the data processing unit controls the timing of a manual driving return request notification for the driver's return from automatic driving to manual driving, in accordance with the alertness level of the driver. The observation information to be acquired by the data processing unit includes observation information about the driver both before and after the driver gets in the vehicle. For example, passive monitoring, information about the driver's response to a notification, and the like are observed.

A system for controlling an autonomous vehicle is capable of predicting and eliminating a possibility of motion sickness before and during travelling of the autonomous vehicle. The system includes: a first control unit which compares a first vehicle motion sickness index that is determined by a travelling simulation with a first threshold set including passenger information before travelling and controls a boarding location of a passenger before travelling; and a second control unit which computes a passenger motion sickness index from passenger state information and vehicle state information detected during travelling, compares a second threshold indicating the degree of sensitivity to motion sickness according to passenger information during travelling with the passenger motion sickness index, and controls the autonomous vehicle so as to reduce or eliminate a generation of a motion sickness causing frequency.