A multifunction lamp unit for a vehicle includes a housing, at least one light conductor with at least one illuminant provided by an LED on a printed circuit board, at least one light foil, and a clear lens. A method for manufacturing lamps for vehicles includes producing a housing, a light conductor, and a clear lens as one unit out of plastic in a 3-component injection procedure.

A drone aircraft for personal assistance or protection. When a driver's car is located in a parking lot at night, the driver can summon a drone stored in the vehicle which flies to the driver and leads the driver to the vehicle by projecting a spot of light onto the ground. The drone makes a video recording of events occurring at this time and transmits the recording to a remote storage location.

A vehicle puddle lamp assembly is provided herein. The vehicle puddle lamp assembly includes a housing having a housing retainer. A light source is supported by the housing. A cover is removably coupled to a base portion of the housing. An optical member is disposed between the housing and the cover. The optical member may include an image filter thereon. The image filter is configured to form a desired image pattern on a surface proximate the housing.

A vehicle includes a mirror light assembly. A plurality of light sources is disposed in a housing and a plurality of reflectors surrounds each light source having a focal axis that is offset from each of the remaining reflectors. A sensor is configured to detect an object proximate the vehicle. A controller is configured to selectively illuminate the light sources to illuminate the object.

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).

An electrically variable reflectance mirror reflective element includes front and rear glass substrates with an electrochromic medium disposed therebetween and bounded by a perimeter seal. A perimeter layer is disposed at a second surface of the front substrate proximate a perimeter edge of the front substrate. The perimeter layer conceals the perimeter seal from view by a driver of a vehicle. No part of the rear substrate extends beyond any part of the front substrate. At least a portion of the mirror reflector disposed at at least a portion of the third surface of the rear substrate extends from under the perimeter seal outward towards at least a portion of the perimeter edge of the rear substrate. The mirror reflector includes a stack of thin films that includes at least a first metal thin film and a second metal thin film.

A light assembly for a motor vehicle according to an exemplary aspect of the present disclosure includes, among other things, a light source, and a lens arrangement configured to direct light from the light source in a first direction toward a running board and a second direction away from the vehicle. A method is also disclosed.

A multifunctional lamp unit includes a side turn indicator including a housing for at least one light conductor with at least one illuminant, and a projection unit. A rearview device including the multifunctional lamp unit, a method of operating the rearview device, and a vehicle including the rearview device are also described.

A vehicle charging system comprises a vehicle computer programmed actuate a vehicle charger to receive electricity from an aerial drone. Actuation of the vehicle charger is performed in response to determining the aerial drone has landed on the vehicle.

A method is provided for showing a target vehicle opening fore zone for a potential, future vehicle user (220) of an automated vehicle (200) by a control device, wherein the potential, future vehicle user of the automated vehicle is detected outside of the automated vehicle, and the automated vehicle marks the target vehicle opening fore zone for the potential, future vehicle user during the travel to the potential, future vehicle user before a stopping position (250) is reached.