A method for detecting a position of a seatbelt in a vehicle includes: capturing, by a camera, a source image of an occupant in the vehicle; determining a pose of the occupant based on the source image; determining an occupant shadow based on the pose of the occupant; determining, based on the occupant shadow, a shadow overlying a region of interest (ROI) in the source image; and detecting, based on the shadow overlying the ROI, the seatbelt within the ROI. A system for detecting a position of a seatbelt is also provided. The system includes a camera and controller in communication with the camera and configured to: determine a pose of the occupant; determine an occupant shadow based on the pose of the occupant; determine, based on the occupant shadow, a shadow overlying the ROI; and detect, based on the shadow overlying the ROI, the seatbelt within the ROI.

A method for detecting an object having a known pattern with a boundary of a shadow overlying the known pattern includes: capturing, by a camera, a source image of the object; detecting a plurality of transitions between dark and bright regions of the source image and corresponding to the known pattern; determining an expected transition within the source image based on the known pattern and the detected transitions; determining an absence of the expected transition due to the boundary of the shadow overlying the known pattern; and determining a location in the source image corresponding to the expected transition based on a rate of change of brightness in the source image. A system including a camera and a controller configured to detect an object having a known pattern with a boundary of a shadow overlying the known pattern is also provided.

A method for detecting seatbelt positioning comprises: capturing, by a camera, a source image including a plurality of pixels each having a corresponding brightness level; determining a range of brightness levels of a group of the plurality of pixels located within at least one region of the source image; generating an adjusted image by adjusting the corresponding brightness levels of the group of the pixels located within the region of the source image based on the range of the brightness levels of the group of the plurality of pixels located within the at least one region of the source image; converting the adjusted image to a black-and-white image; and scanning across the black-and-white image to detect a plurality of transitions between black and white segments corresponding to a predetermined pattern of the seatbelt, and using detections of the plurality of transitions to indicate a detection of the seatbelt.

An in-cabin monitoring system includes a camera which captures an image of an inside of a cabin of a vehicle, a light source which irradiates the inside of the cabin with light, and a controller which controls the camera and the light source. The light source is capable of emitting first light which is light to be emitted when checking whether a person is present using the camera and second light which is stronger than the first light. The controller captures an image of the inside of the cabin using the camera while causing the light source to emit the second light, before the person gets in the vehicle and after the person gets out of the vehicle.

The control device 50 includes a control unit 52 that controls a state of video projected onto a predetermined projection plane by a projector 20 provided in a space in the moving body 10 on the basis of space situation information input from a sensor that detects a space situation in the moving body 10.

An electronic device mounted on a vehicle and an operating method of the electronic device are provided. The electronic device monitor the number of occupants riding in the vehicle, obtain communication access information includes information about the number of connectors accessing a communication module from among the occupants and information about an amount of data use through the communication module, recognize an operation pattern of the occupants, by using an occupant monitoring system (OMS), predict a data throughput to be transmitted and received through the communication module, by using the number of occupants, the obtained communication access information, and the operation pattern of the occupants, and determine, based on the predicted data throughout, whether to change a first communication scheme in use to a second communication scheme, which is fifth generation (5G) millimeter wave (mmWave) communication.

A vehicle occupant monitoring system, OMS, comprises an image acquisition device with a rolling shutter image sensor comprising an array of sub-pixels which are respectively selectively sensitive to: red and infra-red; blue and infra-red; and green and infra-red light. The device is configured to selectively operate in either: a colour mode where a multi-plane image frame corresponding to the full image sensor is provided, each plane derived from red, green or blue sensitive sub-pixels respectively; or a monochrome mode, where sensor information from sub-pixels is aggregated to provide a single image plane.

A vehicle occupant monitoring system, OMS, comprises an image acquisition device with a rolling shutter image sensor configured to selectively operate in either: a full-resolution image mode where an image frame corresponding to the full image sensor is provided; or a region of interest, ROI, mode, where an image frame corresponding to a limited portion of the image sensor is provided. An object detector is configured to receive a full-resolution image from the image sensor and to identify a ROI corresponding to an object of interest within the image. A controller is configured to obtain an image corresponding to the ROI from the image sensor operating in ROI mode, the image having an exposure time long enough for all rows of the ROI to be illuminated by a common pulse of light from at least one infra-red light source and short enough to limit motion blur within the image.

A vehicular driver monitoring system includes an electronic control unit (ECU), memory that stores driver information, and a driver monitoring camera viewing a head of a driver present in the vehicle. When the driver is present in the vehicle, and via processing at the ECU of image data captured by the driver monitoring camera and provided to the ECU, the system recognizes the driver present in the vehicle as being one of the at least one potential driver of the vehicle having driver information stored in the memory, and the vehicular driver monitoring system accesses the driver information that is associated with the driver. Responsive to determination by the vehicular driver monitoring system that a geographical location of the accessed stored driver information corresponds to a current geographical location of the vehicle, the system generates an output for the driver that corresponds to the current geographical location of the vehicle.

A noise cancellation system for cancelling sounds within a vehicle. The noise cancellation system includes microphones, a camera, a controller, and speakers. The microphones are disposed adjacent to occupant locations, and configured to generate microphone signals representative of noise sounds and cancellation audio sounds. The camera is configured to generate a video signal that captures head configurations of the occupants. The controller is configured to receive rotor control signals, calculate hearing locations based on tracking data of the head configurations of the occupants, and generate a speaker signals based on the hearing locations, the microphone signals, and the rotor control signals. The speakers are configured to generate the cancellation audio sounds. The cancellation audio sounds attenuate the noise sounds.