A vehicle lighting apparatus is disclosed. The apparatus comprises a positioning apparatus configured to provide multi axis motion and a light source configured to output an emission in connection with the apparatus. The apparatus further comprises a light controller in communication with the positioning apparatus and the light source. The light controller is configured to control the positioning apparatus to orient the light source directing the emission to a location in the vehicle.

An illuminated seal assembly is provided herein. The illuminated seal assembly includes a carrier that is configured to attach to a vehicle. The carrier has a first region and a second region having varied light transmissivities. A first light source is disposed on the carrier. A light guide is operably coupled with the first light source.

An adaptive cornering light system for a motor vehicle includes an exterior mirror head, housing at least one lighting module that having a plurality of LEDs arranged in sectors to provide different lighting functionalities. One LED or light sector is provided for adaptively illuminating a cornering area that extends along the side of the vehicle toward the front of the exterior mirror head. This cornering LED is adaptively activated if the speed of the vehicle is below a threshold speed, or in response to additional optional parameters such as steering angle, turn-signal blinker activation, and running lights activation. Another LED or light sector may be used as a security light to illuminate or display a message on the ground in the door area adjacent the side of the vehicle. Interior lights are also disclosed. User input may also control options for illumination.

A vehicle mirror assembly is provided herein. The mirror assembly includes a first light source disposed within a housing and is operably coupled with a first light output window disposed on an outboard portion of the housing. A door ajar sensor is disposed within a vehicle. Emitted light is emanated from the first light output window through a window of the vehicle when the door ajar sensor detects a vehicle door is in an open position.

A vehicle headlamp device includes headlamps, which are structured so as to be able to project or irradiate given patterns and given shapes without distortion on a given virtual surface in front of a vehicle from a left headlight and a right headlight, respectively, a camera that captures an image of the area in front of the vehicle, and a state detecting portion configured to detect distortion of the given patterns, which are projected or irradiated on an irradiated surface in front of the vehicle, relative to the given patterns projected or irradiated on the given virtual surface in front of the vehicle, based on the captured image, and also detect a state of the irradiated surface based on the distortion, and a correcting portion configured to correct a relative optical axis deviation between the left headlight and the right headlight.

A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

A vehicle roof rack includes a first side-rail and a second side-rail. Each of the rails define a first groove and a second groove. The second is defined below the first groove. A plurality of lights are positioned within the second groove. A cross-rail extends between the first and second side rails and is positioned within the first grooves.

A vehicle is provided that includes a liftgate, a trim panel located on an interior side of the liftgate, and a rotary lamp assembly assembled on the trim panel. The rotary lamp assembly includes a rotary bezel and a lamp supported on the bezel, wherein the lamp assembly is rotatable about at least one axis to redirect light output from the lamp.

A vehicle mirror assembly is provided herein. The mirror assembly includes a housing. A first light source is disposed within the housing and is operably coupled with a first light output window disposed on an inboard portion of the housing. A second light source is disposed within the housing and is operably coupled with a second light output window disposed on a bottom portion of the housing. A third light source is disposed within the housing and is operably coupled with a third light output window disposed on an outboard portion of the housing.

A method of controlling an operation standby time of a driver convenience system installed in a vehicle using a control unit including a memory and a processor includes: setting a plurality of learning positions; generating a plurality of test cases based on a day of a week and a time associated with each of the plurality of set learning positions; receiving a plurality of sensor signals and a plurality of switch signals associated with the driver convenience system; generating a learned neural network algorithm by using a neural network algorithm to learn an operation standby time of each of the plurality of generated test cases based on the plurality of sensor signals and the plurality of switch signals associated with the driver convenience system; and determining an operation standby time of the driver convenience system at a current learning position using the learned neural network algorithm.