A waveguide head-up display (HUD) includes a waveguide that includes a lower surface and an upper surface and is configured to receive an input and project, based on the input, at least one image from the upper surface and into an eyebox, and a prism arranged at least one of on and above the waveguide. The prism includes a lower surface facing the waveguide and configured to receive the at least one image and an upper surface opposite the lower surface configured to project the at least one image received via the lower surface of the prism. The upper surface of the prism is angled relative to the upper surface of the waveguide such that a first normal of the upper surface of the prism is different from a second normal of the upper surface of the waveguide.

Embodiments are disclosed for display configurations for providing an augmented reality heads up display. In one example, a heads up display device includes at least one display, at least one micro lens array, at least one optical element comprising a lenticular lens or parallax barrier positioned between the display and the at least one micro lens array, and a display controller comprising a processor and memory storing instructions executable by the processor to control the at least one display to output image light that passes through the at least one optical element and the at least one micro lens array and impinges on a transparent plane to form a first three-dimensional image in a first plane and a second three-dimensional image in a second plane.

An approach is provided for presenting a user reaction user interface for providing a user interface on a device to present vehicle sensor data, user sensor data, or a combination thereof collected from one or more sensors of vehicle carrying a user as a passenger. The vehicle sensor data indicates at least one driving behavior of the vehicle and the user sensor data indicates a reaction of the user to the least one driving behavior. The approach also involves presenting a user interface element associated with the user interface to receive a user input for providing, modifying, interacting with, or a combination thereof the vehicle sensor data, the user sensor data, or a combination thereof. The approach further involves generating a passenger profile for the user based on the vehicle sensor data, the user sensor, or a combination thereof after the providing, the modifying, the interacting with, or a combination of the vehicle sensor data, the user sensor data, or a combination thereof via the user interface element.

A vehicle may include a display, a sensor configured to detect state information related to a user and the vehicle, a communicator configured to receive travelling information related to the vehicle corresponding to the state information from an external server; and a controller configured to classify drivers having a same tendency as the user on the basis of the travelling information, generate a travel route of the vehicle on the basis of an emotion state of the user and information related to the classified drivers, and display the generated travel route on the display.

According to one aspect, driver management is provided. One or more speech segments of a driver of an autonomous vehicle may be recorded. A position, a destination, or a previous destination of a driver or an autonomous vehicle may be tracked. An estimated state of the driver may be determined based on one or more of the speech segments, the position, the destination, or the previous destination, and a calendar event associated with the driver or a passenger of the autonomous vehicle. Autonomous driving features may be automatically enabled, disabled, or operation of the autonomous vehicle may be enabled or disabled in different modes based on the estimated state of the driver. Additionally, notifications may be displayed, rideshare applications may be launched, or warnings may be sent based on the estimated state of the driver.

A context-based operation determination apparatus includes a context information obtainer configured to obtain context information; a context awareness database constructed using data related to a previously performed action; a processor configured to determine a recommendation index that corresponds to a recommended operation and the recommended operation using the context information, and data obtained from the context awareness database; and a selection history database constructed using the final operation, the recommendation index, and an actual operation in a state where the final operation is presented, where the processor verifies the recommended operation using the selection history database.

The disclosure specifies a display device for a motor vehicle. The display device has a memory unit that stores visual requirements of vehicle occupants, an identification component that identifies a vehicle occupant, a processing unit that is designed to assign the visual requirements to an identified vehicle occupant and transfer the assigned visual requirements to a display. The display is individually adjustable to visual requirements of a vehicle occupant.

Embodiments of the present invention provide a human-machine interface (HMI) for a vehicle, comprising an output means (40, 50) for outputting information, passenger monitoring means (20) for determining a status of at least one passenger within the vehicle and to outputting a passenger status signal indicative thereof, control means (10) for determining an operating state of one or more systems of the vehicle, wherein the control means (10) is arranged to receive the passenger status signal, and wherein the control means (10) is arranged to compose an output from the output means (40, 50) in dependence on the operating state of the one or more systems and the passenger status signal.

Disclosed is a method for separating a speech based on artificial intelligence in a vehicle. The method includes separating a speech signal using at least one sound beam-forming or source separation; and performing a speech recognition function by detecting a speaker (user) of the separated signal, and accordingly, other users in the vehicle in addition to a driver may use the speech recognition function. A device and method for separating speech based on artificial intelligence in vehicle of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

Systems, methods, and articles of manufacture for autostereoscopic imaging in a vehicle provide for an enhanced viewer experience. In one example, a reflector is positioned to receive an image from a projector and reflect the image onto a viewing surface through which an external scene is visible, and a camera is positioned relative to the viewing surface to observe the external scene. The system determines first and second viewing distances and viewing angles from the viewing surface to respective first and second eyes for a viewer; produces first and second sub-images for viewing at the respective eyes based on an image; and projects the first and second sub-images from the projector to the reflector to reflect the sub-images to the respective first and second positions on the viewing surface, wherein the positions are set according to the viewing distances and angles to provide a 3D image to the viewer.