A method for visualizing sensor data from the surroundings of a vehicle and/or measuring data from the vehicle uses light modules in the interior of the vehicle for the visualization of the sensor data. The sensor data is detected as video data, after which the video data is analyzed in relation to relevant recognizable structures, after which the relevant structures are transferred to a video sequence with a format fitting for the respective light module, and/or sensor data not detected as video data and/or measuring data is recalculated into video sequences via an algorithm, after which the video sequences from the different data are superimposed and displayed on the light modules.

A vehicle includes an on-board satellite navigation device, a telematics control unit, a non-transitory computer readable medium, an electronic display device, and a processor. The on-board satellite navigation device is in communication with a global positioning system unit to acquire real-time information regarding conditions near the vehicle's vicinity. The telematics control unit is in wireless communications to at least one of a cloud services and a vehicle network to upload and receive crowdsourced information regarding conditions near the vehicle's vicinity. The non-transitory computer readable medium stores predetermined information regarding conditions near the vehicle vicinity. The processor is programmed to control the electronic display device to display notification data regarding the vehicle vicinity based on one or more of the real-time information, the crowdsourced information and the predetermined information.

A vehicle display control device includes a memory and a processor coupled to the memory. The processor is configured to acquire an actual location of a vehicle, and change information displayed at a display region generated in front of an occupant, based on the actual location of the vehicle and based on a virtual location of the vehicle on a pre-generated map.

A display system that is configured for integration into a vehicle comprises a light source and an optical subsystem optically coupled to the light source. The optical subsystem includes a reflector and at least one semi-reflective optic, wherein the optical subsystem is configured to direct light rays to provide a plurality of virtual images that appear to a viewer concurrently at a respective plurality of different optical depths, by causing light of each of the virtual images to travel a different distance within the optical subsystem before exiting the optical subsystem on a path toward eyes of the viewer.

A display control device configured to control a head-up display that projects an image onto an area ahead of a driver to display the image such that the image that is a virtual image is superimposed on an actual view. The display control device includes a controller. The controller is configured to execute control such that a highlighting image that highlights a specific object present ahead of a vehicle is displayed when a warning against the specific object is given to the driver. The specific object is detected based on traveling situation information regarding a traveling situation of the vehicle. The traveling situation information based on an output from a vehicular sensor including an on-board camera.

The human machine interface (HMI) of a vehicle, especially an automobile is responsive to outside stimuli. Signals relevant to the amount of concentration required by a driver are received by the HMI, which determines, based on the values of these signals, a driver distraction level. As the driver distraction level increases, areas of a structured display on a display screen are dynamically removed, to present the driver with a reduced distractions when greater concentration is required.

A method is intended to assist the driver of a vehicle (VA) capable of being driven in an automated manner and in a manual manner, by means of a steering wheel (VV), in a traffic lane (VC1). This method comprises a step that involves determining an optimum trajectory of the vehicle (VA) in the event of automated driving, an actual current trajectory of the vehicle (VA) in the traffic lane (VC1), and a value of a parameter representative of a manual intervention being carried out by the driver on the steering wheel (VV), and representing these determined optimum and actual current trajectories on a medium (EA) with an aspect that depends on this determined value of the parameter.

The notification system of a vehicle of the present disclosure includes a communication device, a millimeter wave radar device, an imaging device, an ACCECU, and a notification device. The imaging device is configured to acquire surrounding information of the vehicle. The ACCECU is configured to set priority of a plurality of items of notification information based on the surrounding information of the vehicle. The notification device is configured to notify a notification target person of the plurality of items of notification information based on the priority set by the ACCECU.

A display unit of the present invention includes a first display (head-up display) for displaying various information by irradiating a surface to be irradiated with video light and a control part for controlling the first display. The control part controls to display information on an inter-vehicle distance (bar graph), information on an inter-intersection (digital numerical value), an intersection image, and an arrow.

In a display unit of the present invention, an instrument frame body (speedometer frame body, power meter frame body) are changed to a map frame body in a process that the road image is stepwise reduced and display to the map image by switching from a road display state to a map display state. Further, the map frame body is changed to the instrument frame body in a process that the map image is stepwise enlarged and displayed to the road image by switching from the map display state to the road display state.