An electric scooter with a lighting system that includes a rear mounted light that projects light upward and toward the front of the scooter to illuminate the back of a rider, and side lights that project light to illuminate the sides of a scooter. The lighting system employs a multi-faceted approach to vary intensity and effects for improved visibility in traffic. The light system can be configured to automatically illuminate or change effects in response to road or environmental conditions, or in response to existing or future roadway infrastructure such as autonomous traffic infrastructure or adaptive traffic control systems. The light system may also be integrated with the braking system for signaling a slow down or stop. The system may be controlled by communication between an onboard processor and a personal computing device such as a smart phone that can be docked on the scooter and provide display of information and a means of input.

A system for simulation of a composite beam is disclosed. The system can comprise a memory storing executable instructions and one or more processors coupled to the memory to execute the executable instructions. The one or more processors can be configured to generate a representation of the original beam pattern transmitted via a propagation of the composite beam, to invoke a propagation model that represents a distortion for the propagation of the composite beam, and to determine a representation of a distorted beam pattern based on the propagation model and on the representation of the original beam pattern transmitted via the propagation.

A method for activating at least one device from a transportation vehicle wherein the at least one device is activated by the transportation vehicle at least as a function of global position data of at least one pedestrian and/or at least one cyclist. The position data of the at least one pedestrian and/or the at least one cyclist is transmitted to a remotely located computer unit and is made available to a computer unit of the transportation vehicle. The activation of the at least one device as a function of the position data of pedestrians and/or cyclists is made possible in a simple and economic way.

A vehicular vision system includes an image processor and a camera that views through the windshield of the vehicle. The camera captures image data as the vehicle travels along a road, and the image processor processes image data captured by the camera. The vehicular vision system, responsive at least in part to processing by the image processor of image data captured by the camera, determines when the vehicle is at a construction zone. Responsive to determining that the vehicle is at the construction zone, the vehicular vision system adjusts a vehicular driver assistance system of the vehicle. The vehicular vision system determines that the vehicle exits the construction zone based at least in part on processing by the image processor of image data captured by the camera.

A vehicle may include: a camera configured to obtain a surrounding image of the vehicle; and a controller configured to derive spatial recognition data by learning the surrounding image of the vehicle as an input value, derive object recognition data including wheel area data of surrounding vehicles by learning the surrounding image of the vehicle as an input value, determine a ground clearance between a bottom surface of a vehicle body of the surrounding vehicle and a ground by use of the spatial recognition data and the wheel area data, and control the vehicle to park the vehicle by reflecting the ground clearance.

A system for implementing adaptive light distributions for an autonomous vehicle (comprises the autonomous vehicle, a control device, and a headlight associated with the autonomous vehicle. The control device receives sensor data from sensors of the autonomous vehicle, where the sensor data comprises an image of one or more objects on a road traveled by the autonomous vehicle. The control device determines that a light condition level on a particular portion of the image is less than a threshold light level. The control device adjusts the headlight to increase illumination on a particular part of the road that is shown in the particular portion of the image.

An optical axis adjustment device for a headlamp unit to be mounted in a vehicle is configured to adjust an optical axis of the headlamp unit. The optical axis adjustment device includes an engine temperature acquirer, a displacement amount calculator, and an optical axis adjuster. The engine temperature acquirer is configured to acquire a temperature in an engine compartment of the vehicle. The displacement amount calculator is configured to calculate a displacement amount of the optical axis on a basis of the acquired temperature. The optical axis adjuster is configured to adjust the optical axis of the headlamp unit on a basis of the calculated displacement amount.

Examples described herein provide a computer-implemented method that includes includes receiving, by a processing device of a vehicle, first road data. The method further includes receiving, by the processing device of the vehicle, second road data from a sensor associated with the vehicle. The method further includes identifying, by the processing device of the vehicle, an object based at least in part on the first road data and the second road data. The method further includes causing, by the processing device of the vehicle, the object to be illuminated.

Devices, systems and methods for controlling an exterior and dashboard lights of an autonomous vehicle are described. One example of a method for controlling one or more exterior lights includes receiving, from an autonomous driving system (ADS) of the vehicle, an input to control one or more exterior lights that are part of a lighting system of the vehicle, and transmitting, based on the input, a message to a controller area network (CAN) bus of the lighting system, the message being further based on a driver command upon a determination that a driver-initiated message is received. In an example, the lighting system of the vehicle further comprises a plurality of dashboard lights.

A vehicle control device mounted in a vehicle includes: a first recognizer configured to recognize a person near the vehicle; a first determiner configured to determine whether the person recognized by the first recognizer is a pre-registered user; and a controller configured to control a lighting device to project a projection image to a position for which a stop position of the vehicle is a criterion in a case where the first determiner determines that the person recognized by the first recognizer is the pre-registered user.