A drowsy driving detection method comprises: acquiring a side face image of a currently seated driver collected by a camera module; performing face recognition on the side face image to obtain side face feature parameters, and determining, according to the side face feature parameters, whether an ID file corresponding to the currently seated driver exists in a driver ID library; and if yes, periodically acquiring a side face image of the driver in the current period collected by the camera module, obtaining eye movement feature parameters of the driver in the current period according to the side face image of the current period, and determining whether the driver is driving while drowsy according to a comparison result between the eye movement feature parameters of the current period and the normal eye movement feature parameters of the driver.

A vehicular vision system includes a camera disposed at a vehicle, at least one non-vision sensor disposed at the vehicle, and a display system of the vehicle that displays video images for viewing by the driver of the vehicle. Image data captured by the camera and sensor data sensed by the non-vision sensor are provided to a control of the vehicle. Responsive at least in part to processing at the control of image data captured by the camera, video images are displayed by a video display screen of the display system. The vehicular vision system determines an augmented reality overlay and the video display screen also displays the augmented reality overlay. The displayed augmented reality overlay pertains to at least one accessory of the equipped vehicle and/or is responsive at least in part to a driving condition of the equipped vehicle.

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 and methods are provided for distributed video storage and search over edge computing devices having a short-term memory and a long-term memory. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.

A driver monitoring system of a vehicle includes: a camera configured to capture an image of a driver on a driver's seat within a passenger cabin of the vehicle; a gaze module configured to determine a gaze vector based on a direction of pupils of the driver in the image; an area module configured to determine an area on a vertical plane in front of the driver based on a road in front of the vehicle; a location module configured to determine a location on the vertical plane where the gaze vector intersects the vertical plane; and a monitor module that determines whether the location on the vertical plane where the gaze vector intersects the vertical plane is within the area on the vertical plane.

Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle, based on anomalies detected between driver behavior and environment captured by the outward facing camera. Various aspects of the driver, which may include his direction of sight, point of focus, posture, gaze, is determined by image processing of the upper visible body of the driver, by a driver facing camera in the vehicle. Other aspects of environment around the vehicle captured by the multitude of cameras in the vehicle are used to correlate driver behavior and actions with what is happening outside to detect and warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.

A driver monitor includes a processor configured to: detect the posture of a driver of a vehicle from an image of the interior of the vehicle generated by a camera provided on the vehicle, determine that the driver's condition is abnormal, when the detected posture satisfies an abnormality determining condition, detect an unusual sound made by the driver of the vehicle, based on a voice signal of the interior of the vehicle obtained by a microphone provided on the vehicle, and make the abnormality determining condition for the case where the unusual sound is detected less strict than an abnormality determining condition for the case where the unusual sound is not detected.

A driver assistance apparatus includes an external camera disposed at a vehicle so as to have an outer field of view of the vehicle, configured to obtain image data on the outer field of view of the vehicle; an internal camera disposed inside the vehicle to grasp a drivers gaze on board the vehicle, configured to obtain the drivers gaze data; and a controller including at least one processor configured to process the image data and the gaze data. The controller may be configured to grasp the driver's gaze based on the gaze data, and based on a determination that the driver is in a careless condition, to control at least one of a control timing of a steering device and a lateral distance limit value for operating the steering device to be changed.

Devices, methods and computer program products that facilitate automated adjustment of size or configuration of head up display image in a vehicle. A device can include a memory and a processor that executes computer executable modules. The computer executable modules can include: a head up display that generates an image visible to a driver of a vehicle within an eye box, a detection module that determines position of the driver's eyes or head relative to position of the eye box, and an adjustment module that adjusts size or configuration of the image within the eye box in response to the determined driver's eye or head position.

A computer-implemented method for emotion detection and communication includes receiving host passenger data for a host passenger of a host vehicle and determining an emotion of the host vehicle based on the host passenger data. The method includes communicating the emotion of the host vehicle to one or more remote vehicles and an emotion of the one or more remote vehicles to the host vehicle. Further, the method includes generating an output based on the emotion of the host vehicle and the emotion of the one or more remote vehicles. The output is an interactive user interface providing an indication of the emotion of the host vehicle and an indication of the emotion of the one or more remote vehicle. The method includes rendering the output to a human machine interface device.