A system for operating an automated-taxi includes a perception-sensor, a communication-device, and a controller-circuit. The perception-sensor is operable to determine a location of an object aboard an automated-taxi. The communication-device is operable to communicate with a client of the automated-taxi. The controller-circuit is in communication with the perception-sensor and the communication-device. The controller-circuit is configured to determine that the location of the object is not in compliance with an operational-requirement of the automated-taxi based on signals or information from the perception-sensor, and operate the communication-device to send a message that indicates the client will be charged a fee for failing to re-locate the object so that the location of the object is in compliance with the operational-requirement of the automated-taxi.

To improve convenience of a passenger using a paid seat. An image transmission unit transmits a plurality of images generated by a first camera to a passenger information processing device. The passenger information processing device performs person specifying processing using the image. A processing result acquisition unit acquires a processing result by the passenger information processing device. This processing result is obtained by associating person specifying information that specifies a person included in the image with attribute information of the passenger. A getting-on station management unit generates getting-on station information using the person specifying information and the attribute information associated with the person specifying information. A getting-off station management unit generates getting-off station information using the person specifying information and the attribute information associated with the person specifying information. The getting-on station information and the getting-off station information are stored in a first storage unit in association with the person specifying information of the passenger.

A vehicle control system monitors an infant possibly left behind in a cabin of a vehicle. The vehicle control system performs a danger avoidance process of either avoiding or reducing a danger to the infant based on a monitoring result. The vehicle control system includes an image acquirer for acquiring one or more vehicle stationary images indicating an interior of the cabin. The one or more vehicle stationary images are captured by an imaging device during stopping of the vehicle. A leaving behind determiner is provided to determine presence or absence of an infant left behind in the cabin based one or more vehicle stationary images.

A system includes a camera defining an optical axis and a field of view defined about the optical axis. An illuminator is mounted offset from the optical axis and directed to illuminate at least a portion of the field of view, wherein the illuminator is operatively connected to the camera to provide illumination during an image capturing exposure of the camera. An image processer is operatively connected to the camera and includes machine readable instructions configured to receive image data representative of an image captured with the camera, perform facial detection to detect at least one face in the image, perform license plate detection to detect at least one license plate in the image, and to provide a vehicle overview image.

An apparatus includes a capture device and a processor. The capture device may be configured to generate a plurality of video frames. The processor may be configured to perform operations to detect objects in the video frames, detect users based on the objects detected in the video frames, determine a comfort profile for the users and select a reaction to adjust vehicle components according to the comfort profile of the detected users. The comfort profile may be determined in response to characteristics of the users. The characteristics of the users may be determined by performing the operations on each of the users. The operations detect the objects by performing feature extraction based on weight values for each of a plurality of visual features that are associated with the objects extracted from the video frames. The weight values are determined by the processor analyzing training data prior to the feature extraction.

A vehicle monitoring system and a vehicle monitoring method, the vehicle monitoring system comprising: a camera module, used for photographing one or more first images and one or more second images after a vehicle starts, the first images being obtained by photographing embarking passengers, the second images being obtained by photographing disembarking passengers; a processing module, connected to the camera module, and used for performing facial analysis on the first images to determine the passengers embarking the vehicle, performing facial analysis on the second images to determine the passengers disembarking the vehicle, and sequentially matching the embarking passengers with the disembarking passengers; a reminder module, connected to the processing module, and used for pushing a left-behind passenger message to a driver if there is an embarking passenger who cannot be matched with a disembarking passenger, to warn the driver that there is a passenger currently left behind in the vehicle.

A vehicle is provided that includes a vehicle body defining a cabin interior, a plurality of seats located within the cabin interior, each seat having an adjustable seat base and an adjustable seat back, a monitoring system for detecting and monitoring a pet within the cabin interior, and a controller processing signals generated by the monitoring system and determining a location of the pet based on the monitored signals, the controller further controlling at least one of the adjustable seat base and adjustable seat back of a seat based on the determined location of the pet so that the seat is configured to accommodate the pet.

A sensing apparatus is configured to measure a target person without being attached to the target person, and is configured to generate information associated with the target person from outputs of at least a part of sensors of a plurality of sensors that are different from each other in at least one of a sensor type and location. The sensing apparatus is provided with: a specifier configured to specify at least one of clothes and physical features of the target person from images obtained by imaging the target person; and a determinator configured to determine one or a plurality of sensors, which are the at least the part of sensors, from the plurality of sensors, on the basis of the specified at least one of the clothes and the physical features.

Methods, systems and apparatuses may provide for technology that conducts an automated vision analysis of image data associated with an interior of a vehicle cabin, determines a state of a child restraint system (CRS) based on the automated vision analysis, and generates an alert if the state of the CRS does not satisfy one or more safety constraints. In one example, the technology identifies the safety constraint(s) based on a geographic location of the vehicle cabin.

A parking assistance device is configured to assist parking of a vehicle. The parking assistance device includes: a communication interface; a processor; and a memory. The memory stores instructions that, when executed by the processor, cause the parking assistance device to perform operations. The operations include: obtaining an image of a parking frame through the communication interface, the image being captured by the image capturing device provided in the vehicle; and determining, based on a number of one or more occupants in the vehicle, a correction value of a position of each of at least one end point of the parking frame detected from the image.