An occupant behavior determining apparatus includes a surveillance camera that captures an image of an occupant of a vehicle to acquire an image; a face recognizing section that recognizes a face of the occupant based on the image; a posture recognizing section that recognizes a posture of the occupant based on the image; and a behavior determining section that determines a behavior of the occupant in a vehicle cabin based on a recognition result of the face recognizing section and a recognition result of the posture recognizing section.

There is provided mechanisms for calibration of an eye tracking system. An eye tracking system comprises a pupil centre corneal reflection (PCCR) based eye tracker and a non-PCCR based eye tracker. A method comprises obtaining at least one first eye position of a subject by applying the PCCR based eye tracker on an image set depicting the subject. The method comprises calibrating a head model of the non-PCCR based eye tracker, as applied on the image set, for the subject using the obtained at least one first eye position from the PCCR based eye tracker as ground truth. The head model comprises facial features that include at least one second eye position. The calibrating involves positioning the head model in order for its at least one second eye position to be consistent with the at least one first eye position given by the PCCR based eye tracker.

A vehicle includes a processing device that detects an authentication device approaching the vehicle, determines a user's impaired state based on user condition information acquired using at least one device mounted on the vehicle, and performs a safe driving assistance service. The safe driving assistance service can prevent an impaired user from operating the vehicle.

Systems and methods monitor driver behavior for vehicular fleet management in a fleet of vehicles using driver-facing imaging device. The systems and methods herein relate generally to vehicular fleet management for enhancing safety of the fleet and improving the performance of the fleet drivers, and further relate to monitoring the operation of fleet vehicles using one or more driver-facing imaging devices disposed in the fleet vehicles for recording activities of the fleet drivers and their passengers, storing information relating to the monitored activities, selectively generating warnings related to the monitored activities, and reporting the monitored activities to a central fleet management system for use in enhancing the safety of the vehicles of the fleet and for helping to improve the performance of the fleet drivers.

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.

A method for visually tracking a gaze point of a human eye includes: periodically obtaining position coordinates of a human eye of a driver of a host vehicle and coordinates of a gaze point of a sightline of the human eye on ab inner side of a current projection screen; in combination with a refractive index and a curvature of the current projection screen, coordinates of a gaze point of the sightline on an outer side of the current projection screen and a corresponding refracted light path formed by outward refraction of the sightline are obtained, and in combination with a preset normal viewing distance of the human eye, a final gaze point of the sightline on the refracted light path and coordinates of the final gaze point are obtained.

A system for user interaction with an automated device includes a control system configured to operate the device during an operating mode corresponding to a first state in which the control system automatically controls the device operation, and the operating mode prescribes that a user monitor the device operation during automated control. The control system is configured to allocate a time period for the device to transition to a temporary state in which automated control is maintained and the user is permitted to stop monitoring and perform a task unrelated to device operation. The system includes a user interaction system including a visual display configured to present trajectory information, an indication as to whether an area is conducive to putting the device in the temporary state, and time period allocation information, the user interaction system including an interface engageable by the user to manage scheduling of allocated time period(s).

Response methods to human abnormal behaviors for a mobility aid robot having a user-facing camera are disclosed. The mobility aid robot responds to human abnormal behaviors by detecting a face of a human during the robot aiding the human to move through the camera, comparing an initial size of the face and an immediate size of the face in response to the face of the human having detected during the robot aiding the human to move, determining the human as in abnormal behavior(s) in response to the immediate size of the face being smaller than the initial size of the face, and performing response(s) corresponding to the abnormal behavior(s) in response to the human being in the abnormal behavior(s), where the response(s) include slowing down the robot.

A method includes obtaining an image of a scene and identifying one or more labels for one or more objects captured in the image. The method also includes generating one or more domain-specific augmented images by modifying the image, where the one or more domain-specific augmented images are associated with the one or more labels. In addition, the method includes training or retraining a machine learning model using the one or more domain-specific augmented images and the one or more labels. Generating the one or more domain-specific augmented images may include at least one of modifying the image to include a different amount of motion blur, modifying the image to include a different lighting condition, and modifying the image to include a different weather condition.

Systems and methods for viewing, observing, and/or monitoring a second row of seats in a vehicle are provided. A camera can be disposed in the second row of seats, near the rear of the vehicle, and can be forward-facing or generally forward-facing. The camera can provide a live video feed to a display located on the instrument panel in the front row of the vehicle.