The invention relates to a control device of a cable transport facility, comprising a controller capable of organizing an embarking period of a nominal duration (Tn_max) for vehicles at a station. This embarking period (Tn_max) ends with a prohibition of access to the vehicle. The controller comprises an input for receiving at least one variable representative of a vehicle occupancy. The controller is arranged to react upon receipt of such a variable during the embarking period (Tn_max) by comparing it to a threshold value and by triggering the prohibition of access to the vehicle in an anticipated manner and before the end of the embarking period (Tn_max) as a function of the result of the comparison between said variable and the threshold value.

An apparatus includes an interface and a processor. The interface may be configured to receive video frames corresponding to an interior of a vehicle. The processor may be configured to perform video operations on the video frames to detect objects in the video frames, detect a driver based on the objects detected in the video frames, detect a use of an electronic device by the driver and generate a notification signal. The notification signal may be configured to warn the driver about using the electronic device in the vehicle. The notification signal may be generated if the use of the electronic device is unauthorized. The processor may comprise a dedicated hardware module configured to perform feature detection to calculate descriptors for determining a likelihood that pixels of the video frames belong to the objects that correspond to the use of the electronic device by the driver.

A vehicle has a restraint system with at least two restraint devices. A sensor detects a potential collision object and outputs a signal representing a relative position of the potential collision object to the vehicle. A processing device suppresses deployment of at least one of the restraint devices based at least in part on the signal output by the at least one sensor.

Systems and methods can improve passenger safety for an Autonomous Vehicle (AV) based on the integration of sensor data captured by the AV's interior and exterior sensors. The AV can determine passenger occupancy data corresponding to where each passenger is detected within the AV by the interior sensors. The AV can determine multiple sets of one or more driving actions that the AV can perform at a future time. The AV can generate crash impact data corresponding to where each passenger is detected from one or more simulated collisions between the AV and one or more objected detected by the exterior sensors when the AV performs one or more sets of driving actions from among the multiple sets. The AV can determine ranked sets of driving actions based on the passenger occupancy data and the crash impact data.

An electronic device provided in a vehicle and including a touch screen; a first camera configured to capture an image of a driver of the vehicle; and a controller configured to restrict a touch input function with respect to the touch screen in response to an eyeline of the driver included in the image being out of a preset driving range for more than a predetermined time.

A vehicle-mounted device installed in a vehicle comprising a mobile terminal communication unit that communicates with a mobile terminal located inside the vehicle, and a control unit that provides an interface for operating the vehicle-mounted device from the mobile terminal, wherein the control unit compares a vehicle interior image taken inside the vehicle interior with a facial image of the user of the mobile terminal and changes the interface provided to the mobile terminal based on the determined seating position of the user. The vehicle-mounted device further comprises a display unit, wherein the control unit causes the mobile terminal to display expanded display details on the display unit if the seating position is in a front seat, and causes the mobile terminal to display the same display details as those on the display unit if the seating position is other than one in a front seat.

Various implementations relate to an operator monitoring system (OMS). Certain implementations include an OMS coupled to a rotatable portion of a steering wheel assembly of a vehicle. For example, the OMS may include an imaging unit, such as a camera, that is coupled to a central hub portion of the steering wheel assembly. The imaging unit has a field of view directed toward one or more occupants in the vehicle and is configured to capture an image signal corresponding to an imaging area in the field of view. The imaging area can be configured to encapsulate an expected position of one or more vehicle occupants. The OMS also includes one or more processing units in electrical communication with the imaging unit that receives and processes the image signal from the imaging unit to determine an occupant state and, in some implementations, provide feedback based on the determined occupant state.

A vehicle occupant count monitoring system includes: an imaging unit that captures a depth image including a distance to an occupant in a cabin of a vehicle; a facial recognizing unit that recognizes a face of the occupant from the depth image captured by the imaging unit; an upper half body recognizing unit that recognizes an upper half body of the occupant from the depth image captured by the imaging unit; and a counting unit that counts the number of occupants by combining a recognition result of the face using the facial recognizing unit and a recognition result of the upper half body using the upper half body recognizing unit.

Systems and methods for using image analysis techniques to facilitate adjustments to vehicle components are disclosed. According to aspects, a computing device may access and analyze image data depicting an individual(s) within a vehicle, and in particular determine a positioning of the individual(s) within the vehicle. Based on the positioning, the computing device may determine how to adjust a vehicle component(s) to its optimal configuration, and may facilitate adjustment of the vehicle component(s) accordingly.

Example implementations relate to vehicle occupancy confirmation. An example implementation involves receiving, at a computing system from a camera positioned inside a vehicle, an image representing an occupancy within the vehicle. The implementation further involves, responsive to receiving the image, displaying the image on a display interface, and receiving an operator input confirming the occupancy meets a desired occupancy. The implementation additionally includes transmitting an occupancy confirmation from the computing system to the vehicle. In some instances, in response to receiving the occupancy confirmation, the vehicle executes an autonomous driving operation.