In example implementations, a method is provided. The method includes determining, by a processor, that a vehicle is approaching a door of a building based on a velocity vector of the vehicle, calculating, by the processor, a time of arrival of the vehicle at the door based on the velocity vector of the vehicle and a distance of the vehicle from the door, and controlling, by the processor, the door to begin opening at a time based on the time of arrival and an amount of time for the door to open such that the door is opened when the vehicle arrives at the door.

An apparatus for controlling bus doors (14, 16) that are arranged as a pair of doors that move in coordinated relation between door open positions and door closed positions, enables passengers to access an interior area (12) of a bus (10). The apparatus includes an actuator (28, 226). The actuator includes a drive lever (34, 228) that is selectively rotationally movable between rotational positions in which both of the doors are in the open positions and in the closed positions. Exemplary arrangements include at least one controller (128) that is operative to prevent the doors from causing damage to or from being damaged by engagement with obstructions. The controller further enables a bus driver or other authorized user to control access to the interior area of the bus using a user mobile device (144).

The present disclosure provides a smart automated latch mechanism for opening a front trunk of a vehicle and a smart sensor array for detecting when the front trunk of the vehicle is at capacity. The system operates by having an electronic latch mechanism for the front trunk coupled with an infra-red sensor at the interface between the lid and the vehicle bonnet. When a change in temperature is detected in this space by the sensor, an electric motor causes the front trunk to open, removing the need for the user to actually touch the vehicle to open the front trunk. This system combines with a directional sensor array arranged inside the trunk which detects when an object is placed in front of it. The sensor array is arranged at a capacity height of the trunk, and thus allows for automated detection of when an object is in an inappropriate position, preventing damage to the vehicle from closing the front trunk lid on the object.

A vehicle control device includes a power door control unit that: when a getting-off-intention of a user is recognized by a getting-off-intention recognizing unit, determines whether a door-opening-prohibition condition of a predetermined door is satisfied based on a surrounding situation of a vehicle recognized by a vehicle-surrounding-situation recognizing unit; and executes power-door-automatic-opening control, the power-door-automatic-opening control causing a power door to perform an opening operation when the door-opening-prohibition condition is not satisfied, the power-door-automatic-opening control prohibiting the opening operation of the power door when the door-opening-prohibition condition is satisfied.

Provided is a vehicle control system and vehicle control method. The vehicle control system includes: one or more image sensors disposed on a vehicle to have a field of view of an inside of the vehicle and configured to capture image data and process the captured image data; and a controller configured to control the vehicle according to a state of a child existing in the vehicle on the basis of the image data.

Automatic vehicle window control systems and methods are provided herein. An example method includes determining a first operating height of a first window of a vehicle, determining a second operating height of a second window of the vehicle, comparing the first operating height with the second operating height, and selectively adjusting the first operating height or the second operating height to be substantially equal to one another when the first operating height and the second operating height are not substantially equal.

A system for automatically closing a trunk lid of a vehicle. The system comprises a trunk sensor system configured for detecting items in a luggage trunk, a trunk lid actuator for automatic closing of the trunk lid, and a control unit connected to the trunk sensor system and to the trunk lid actuator. The control unit is arranged for statistically determining, based on a set of observations of a trunk interior space by means of the trunk sensor system in connection with termination of a set of vehicle travels, one or more items or combination of items that are frequently remaining in the luggage trunk after completed travel, while preferably taking into account the one or more items stored in the luggage trunk during the travel, detecting opening of the trunk lid, detecting current items in the luggage trunk by means of the trunk sensor system, and controlling the trunk lid actuator for automatic closing of the trunk lid when the current items correspond to said one or more items or combination of items that are frequently remaining in the luggage trunk after a journey. The disclosure also relates to a corresponding computer-implemented method for automatically closing a trunk lid of a vehicle luggage trunk.

A vehicle operation detection device includes a storage unit configured to store a trained model obtained by machine learning using training data in which an image captured in advance and a body part used for a gesture of a user are associated with each other, an entry determination unit configured to determine whether, based on a position of the body part in the image obtained by inputting a newly captured image into the trained model, the body part enters a recognition area set in an imaging area of a camera, and a gesture determination unit configured to calculate a displacement vector of the body part based on images captured at a time interval after it is determined that the body part enters the recognition area, and determine, in accordance with whether a direction of the displacement vector is a direction corresponding to the gesture, whether the gesture is made.

An entrance system is disclosed which has a movable door member having a door leaf with a first vertical edge and a second vertical edge. A sensor unit monitors a zone at or near the door leaf for presence or activity of a person or object, and captures an image of an external object at the first vertical edge of the door leaf, and processing the captured image to identify an optical code and recognize a learning mode trigger instruction encoded therein. Triggered by the recognizing of the learning mode trigger instruction, a learning mode of the sensor unit is automatically entered into, in which a distance between the sensor unit and the external object at the first vertical edge is automatically measured and a field width parameter value of the sensor unit is set based on the measured distance.

A system and method for self-learning operation of gate paddles is disclosed. Opening and closing of the gate paddles requires timing and other settings to avoid injury and fare evasion. Self-learning allows a machine learning model to adapt to new data dynamically. The new data captured at a fare gate improves the machine learning model, which can be shared the other similar fare gates within a transit system so that learning disseminates.