When a vehicle stops due to a red light, an image of a scene viewed from a virtual point of view, which moves along a virtual point-of-view moving route, in a virtual line-of-sight direction is displayed on a head-up display. Assuming that a next intersection at which to change lane according to a guidance route is the target intersection, a combination of the virtual point of view and virtual line-of-sight direction is gradually changed from a combination in which a scene is viewed from the point of view of the user in the forward direction of the vehicle to a combination for taking a bird's eye view of a geographic range that includes the current position of the vehicle and then to a combination for taking a bird's eye view of a geographic range that includes the target intersection from a point near the target intersection.

A vehicle includes a controller programmed to, responsive to detecting a barcode displayed outside the vehicle via an exterior sensor, decode the barcode, and project an image representing an information decoded from the barcode on a windshield of the vehicle, the image overlaying the barcode from a perspective of a user.

A riding lawn care vehicle may include a steering assembly and an indicator system may be incorporated into a portion of the steering assembly. The steering assembly, which may be, for example, a steering lever on a zero-turn vehicle, is coupled to a mechanism to move at least one wheel, and the indicator system may includes at least one illuminating element and/or display device that is configured to visually communicate information to an operator in response to detection of a predetermined trigger or condition occurring.

Steering wheel assembly intended for being built into a vehicle dashboard and including a steering wheel and a mounting element which is stationary relative to the dashboard and the steering wheel being movable in rotation with respect to the dashboard. The steering wheel includes a plurality of light-emitting sources spaced apart so that at least one of the light sources cannot be concealed by a hand or by a portion of a hand of a driver of the vehicle. The steering wheel assembly includes a first plurality of sensors capable of picking up the light emitted by at least one light-emitting source, the light-emitting sources and the sensors being configured to form a continuous communication channel between the steering wheel and an instrument panel mounted on the dashboard.

A system for creating vehicle lighting atmosphere of a vehicle is provided. The system includes ambient lighting including a plurality of lights configured for illuminating an interior of the vehicle or an exterior of the vehicle with a selectable light color. The system further includes a computerized vehicle lighting controller, including programming to monitor an input useful to select an ambient lighting theme, select an ambient lighting theme based upon the input, and generate a command to control the ambient lighting based upon the ambient lighting theme.

An interface panel or graphical gauge that can host applications from a mobile application platform and display content from the hosted applications on a display of the graphical gauge. The interface panel may include a native operating system supporting an interface application that generates interface graphical output fed by the native operating system to a graphics controller. The interface control system may be configured to support a guest system that generates guest graphical output fed to the graphics controller. The guest graphical output is representative of graphic information generated by the mobile application platform.

In one aspect, a device includes at least one processor, a display accessible to the at least one processor, and storage accessible to the at least one processor. The storage includes instructions executable by the at least one processor to receive input regarding an object at which one person is looking and to present, to another person via the display, a graphical indication regarding the object.

Method and apparatus are disclosed for remote park-assist authentication for vehicles. An example vehicle includes an autonomy unit to control motive functions for remote parking, a communication module to receive a signal for remote parking from a mobile device, and a parking authenticator. The parking authenticator is to present an image upon receiving the signal and receive, via the communication module, an audio identification from the mobile device. Also, the parking authenticator is to authenticate the mobile device to initiate remote parking in response to determining the audio identification corresponds to the image.

Systems and methods are disclosed preventing accidents by altering user interfaces of self-driving vehicles based on movements of passengers in the self-driving vehicles. The system and methods generate for display media content on a user interface for a self-driving vehicle and determine whether a value of movement from a wearable user device of a user within the self-driving vehicle exceeds a threshold value (indicating the maximum value at which the self-driving vehicle removes the media content on the user interface). Responsive to a determination that the value of the movement from the wearable user device exceeds the threshold value, the system and methods remove the media content on the user interface for the self-driving vehicle.

A vehicular control system includes a forward viewing camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle. Road curvature of a road along which the vehicle is traveling is determined responsive at least in part to processing by an image processor of image data captured by the camera. Responsive at least in part to processing of captured image data, a traffic lane of the road along which the vehicle is traveling is determined. Responsive at least in part to processing of captured image data, another vehicle present on the road and forward of the vehicle may be detected. Responsive at least in part to processing of captured image data, the system may determine that the detected other vehicle is travelling in a traffic lane to the left or to the right of the traffic lane along which the vehicle is traveling.