A vehicle periphery monitoring device that: captures images of rear lateral sides and a rear side of a vehicle; detects objects that exist in, rear lateral overlap regions of captured rear lateral images, and rear overlap regions of a captured rear image; determines whether or not a specific object, which is seen only in either of the rear lateral overlap regions in the rear lateral images or the rear overlap regions in the rear image, is included among the detected objects; and, in a case in which it is determined that the specific object is included, displays a specific object display, which corresponds to the specific object, overlapping with the rear lateral image or the rear image, in which the specific object is not seen, on at least one display portion.

An automatic driving vehicle includes a vehicle position estimation device that estimates a vehicle position, a touch panel that is capable of being visually recognized by an operator, and a control device that controls behaviors of the vehicle position estimation device and the touch panel, and the control device displays a behavior state of the vehicle position estimation device by blinking an automatic mode selection button and a semi-automatic mode selection button on the touch panel.

A system for man-machine interaction for a vehicle is disclosed. The proposed system includes an interactive reflected display on a windscreen of the vehicle; an eye tracking module including an eye gaze tracker for tracking eye gaze direction of a user, and a training unit to train the tracking module using a neural network to predict a real-time set of coordinates for eye gaze direction of the user based on a created reference data set of coordinates of the display; a finger tracking module to detect presence of a finger of the user and track movement of the finger; a cursor module configured to, on the basis of a received input, move a cursor on the display to an area of interest on the display; and a wireless switch module operatively coupled to the display for selecting a target in the area of interest on the display.

In a method for operating a driver information system in an ego vehicle, environment data are detected in an environment of the ego vehicle. By using the environment data, it is determined whether a lane change of the ego vehicle from a current lane to an adjacent, additional lane may be safely carried out. A driver information display is generated and output, wherein the driver information display comprises a graphic adjacent lane object that represents the adjacent additional lane. The adjacent lane object has a graphic depiction feature that is generated according to whether the lane change may be safely carried out.

A method for operating a driver information system in an ego vehicle is provided, in which a course of the road lying in front of the ego vehicle in the driving direction is detected including a radius of curvature of a curve, and a driver information display is generated and output. The driver information display comprises a graphic lane that represents the detected course of the road. The graphic lane object comprises the detected radius of curvature of the curve in a perspective depiction.

A display apparatus for a vehicle includes: a controller configured to create a 3D map based on a neon view by selecting essential information among map information; and a display device configured to display the 3D map based on the neon view created by the controller, wherein the controller displays a structure on a background screen of the map information by using a shadow or displays the structure on a dark background screen by using an outline of the structure when the 3D map based on the neon view is created.

A display device 30 displays information of variables that reflect a state of a vehicle 10. The display device 10 includes: a first display region 31 that displays a scale of a first variable; a second display region 32 that is provided to be aligned with the first display region 31 and displays a scale of a second variable; a first pointing portion 42 that points, in the first display region 31, the first variable in accordance with the state of the vehicle 10; a first strip-shaped image 43 that is displayed between a pointed position of the first pointing portion 42 and a start point S1 of the first display region 31; a second pointing portion 52 that points, in the second display region 32, the second variable in accordance with the state of the vehicle 10; and a second strip-shaped image 53 that is displayed between a pointed position of the second pointing portion 52 and a start point S2 of the second display region.

Systems and methods of visualizing predicted driving risk are provided herein. Vehicle sensor data associated with a vehicle operator may be analyzed. Based on the analysis of the vehicle sensor data, one or more vehicle operation risks associated with the vehicle operator may be predicted. Each vehicle operation risk may be associated with a portion of a vehicle associated with the vehicle operator. Additionally, each vehicle operation risk may be assigned a priority level, e.g., based on predicted likelihood of occurrence, predicted danger of the vehicle operator, predicted damage to the vehicle, etc. A display overview of the vehicle may be presented to the vehicle operator. In the display overview of the vehicle portions of the vehicle associated with each of the predicted vehicle operation risks may be highlighted. The portions may be highlighted differently (using different colors, heavier/lighter shading, etc.) based on the priority level of their associated risks.

A method for operating a driver information system in an ego vehicle is provided, wherein an operating state of a lighting apparatus of the ego vehicle is detected, and a driver information display is generated and output. The driver information display comprises a graphic ego object which represents the ego vehicle. In this context, the ego object comprises a rear depiction of the ego vehicle, wherein the ego object is generated depending on the detected operating state.

A method for operating a driver information system in an ego vehicle is provided, wherein environment data are detected in an environment of the ego vehicle. A driver information display is generated and output, wherein the driver information display comprises a graphic depiction of the environment of the ego vehicle. An operating state of a driver assistance system of the ego vehicle is detected, and an automation level is determined with reference to the detected operating state of the driver assistance system. The depiction of the environment is generated depending on the determined automation level.