A system for contemporaneously calibrating a gaze-tracking system and authorizing access to a first other system can include a processor and a memory. The memory can store a preliminary operations module, an authorization module, and a gaze-tracking module. The preliminary operations module can include instructions to compare a trajectory, of a point of gaze of an eye, with a pattern associated both with a calibration of the gaze-tracking system and with a first authorization process, that excludes an iris recognition process, for the first other system. The authorization module can include instructions to cause an access to the first other system to be authorized. The gaze-tracking module can include instructions to: (1) cause the gaze-tracking system to be calibrated and (2) cause, in response to the gaze-tracking system being calibrated, the gaze-tracking system to be configured to be a user interface for a second other system.

The subject disclosure relates to solutions for reducing or eliminating motion sickness experienced by a vehicle occupant/passenger. In some aspects, a process of the disclosed technology includes steps for collecting motion data associated with a vehicle using one or more environmental sensors, tracking eye movements of a user within a cabin of the vehicle, processing the motion data and the eye movements to identify a motion event, and generating a motion compensation signal based on the motion event. Systems and machine-readable media are also provided.

A video acquisitor acquires a video of a space in which a person exists, the video being imaged by an imager. A video analyzer analyzes the acquired video and detects a place where the person has stayed in the space. A picture constructor constructs display pictures that allow all stay places where the person has stayed to be recognized, from the start of imaging by the imager. The imager may be an imager installed in a room in a building and structure to image a person in the room.

Systems, methods, and non-transitory media are provided for a vehicle and mobile device interface for vehicle occupant assistance. An example method can include determining, based on one or more images of an interior portion of a vehicle, a position of a mobile device relative to a coordinate system of the vehicle; receiving, from the vehicle, data associated with one or more sensors of the vehicle; and displaying, using a display device of the mobile device, virtual content based on the data associated with the one or more sensors and the position of the mobile device relative to the coordinate system of the vehicle.

A unified imaging device used for detecting and classifying objects in a scene including motion and micro-vibrations by receiving a plurality of images of the scene captured by an imaging sensor of the unified imaging device comprising a light source adapted to project on the scene a predefined structured light pattern constructed of a plurality of diffused light elements, classifying object(s) present in the scene by visually analyzing the image(s), extracting depth data of the object(s) by analyzing position of diffused light element(s) reflected from the object(s), identifying micro-vibration(s) of the object(s) by analyzing a change in a speckle pattern of the reflected diffused light element(s) in at least some consecutive images and outputting the classification, the depth data and data of the one or more micro-vibrations which are derived from the analyses of images captured by the imaging sensor and are hence inherently registered in a common coordinate system.

A system and a method for providing visual assistance to an individual suffering from motion sickness. The system includes: a sensor configured to measure movement data of a vehicle in real time; an artificial horizon device designed to generate an image of an artificial horizon in real time on the basis of the movement data of the vehicle; and a wearable augmented reality device designed to display the image of the artificial horizon in real time to an individual who is wearing the wearable device and is a passenger in the vehicle.

Systems, methods and apparatuses to detect an item left in a vehicle and to generate an alert about the item. For example, a camera configured in a vehicle can be used to monitor an item associated with a user of the vehicle. The item as in an image from the camera can be identified and recognized using an artificial neural network. In response to a determination that the item recognized in the image is left in the vehicle after the user has exited the vehicle, an alert is generated to indicate that an item is in the vehicle but the user is leaving the vehicle.

Provided are methods for automatically adjusting a vehicle seating area based on the characteristics of a passenger. In an example method, a seat adjustment system of a vehicle receives sensor data representing at least one measurement of a user exterior to the vehicle, determines at least one characteristic of the based on the sensor data, determines at least one modification to a seating area of the vehicle based on the at least one characteristic of the user, and causes the seating area to be adjusted in accordance with the at least one modification. Systems and computer program products are also provided.

A method, performed by an electronic device installed in a vehicle, of switching a view of an image displayed on a camera monitoring system (CMS) side display, and an electronic device are provided. The disclosure includes an electronic device for displaying, on a camera monitoring system (CMS) side display, a first image representing a surrounding environment image, detecting a lane change signal of the vehicle, and, in response to the detected lane change signal, switching the first image displayed on the CMS side display to a second image representing a top view image showing locations of the vehicle and a surrounding vehicle in a virtual image as looking down from above the vehicle, and displaying the second image, and displaying a lane change user interface (UI) indicating information about whether a lane change is possible on the second image, and an operation method thereof.

A safety belt detection method, apparatus, computer device and computer readable storage medium are disclosed. The safety belt detection method includes the steps as follows. An image to be detected is obtained. The image to be detected is inputted into a detection network which includes a global dichotomous branch network and a grid classification branch network. A dichotomous result, which indicates whether a driver is wearing a safety belt and is output from the global dichotomous branch network, is obtained. A grid classification diagram, which indicates a position information of the safety belt and is output from the grid classification branch network, is obtained based on image classification. A detection result of the safety belt, indicating whether the driver is wearing the safety belt normatively, is obtained based on the dichotomous result and the grid classification diagram.