A vehicular control system includes a plurality of sensors that include at least a camera and a 3D point-cloud LIDAR. As the vehicle travels along a road, and responsive at least in part to processing at an electronic control unit of 3D point-cloud LIDAR data captured by the 3D point-cloud LIDAR, the vehicular control system (a) determines presence of a pedestrian or cross traffic vehicle present exterior of the vehicle that (i) is not on the road that is being travelled along by the vehicle and is approaching the road to cross the road ahead of the vehicle and (ii) is at least in the field of sensing of the 3D point-cloud LIDAR and (b) at least in part controls at least one vehicle function of the vehicle responsive at least in part to the determined presence of the pedestrian or cross traffic vehicle.

In order to provide an enhanced driver assistance system for a vehicle, a prediction of a movement of the third-party vehicle is determined based upon motion data relating to a third- party vehicle travelling in front which has moved out of a region of view of at least one sensor of the vehicle, or relating to an oncoming third-party vehicle which has not yet entered the region of view of the sensor, and based upon map data The driver assistance system is then operated on the basis of the prediction.

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.

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.

In various examples, high beam control for vehicles may be automated using a deep neural network (DNN) that processes sensor data received from vehicle sensors. The DNN may process the sensor data to output pixel-level semantic segmentation masks in order to differentiate actionable objects (e.g., vehicles with front or back lights lit, bicyclists, or pedestrians) from other objects (e.g., parked vehicles). Resulting segmentation masks output by the DNN(s), when combined with one or more post processing steps, may be used to generate masks for automated high beam on/off activation and/or dimming or shading—thereby providing additional illumination of an environment for the driver while controlling downstream effects of high beam glare for active vehicles.

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.

A vehicle lamp includes a light source, a lighting control unit configured to control an emission timing of light emitted from the light source, and a rotary scanning unit configured to repeatedly perform scanning with the light emitted from the light source while rotating. The vehicle lamp illuminates a predetermined region with scan light. The rotary scanning unit performs plural repetitive scans in one rotation. The lighting control unit detects a rotation cycle of the rotary scanning unit, and controls the emission timing of the light source at a timing obtained by equally dividing the detected rotation cycle.

A first pixel with a first pixel sidewall is disclosed. A second pixel with a second pixel sidewall facing the first pixel sidewall is also disclosed. A first dynamic optical isolation material between the first pixel sidewall and the second pixel sidewall and configured to change an optical state based on a state trigger such that a light behavior at the first pixel sidewall for a light emitted by one of the first pixel and the second pixel is determined by the optical state, is also disclosed.

A vehicle display system is provided in a vehicle and includes: a first display device configured to project a light pattern onto a road surface outside the vehicle; a second display device inside the vehicle configured to display a predetermined image to an occupant of the vehicle such that the predetermined image is superimposed on a real space outside the vehicle; and a controller configured to control the first display device and the second display device. In a case where both the predetermined image and the light pattern are displayed, the controller causes a distance from the occupant to the predetermined image to match a distance from the occupant to the light pattern.

Systems, devices, and methods are disclosed in which one or more light sources, a detector, a processor and a controller are configured such that light from the one or more light sources can provide illumination or projections that can reduce accidents while the vehicle is in motion and when parked and may also provide information and illumination to the driver and vehicle occupants when entering or exiting the vehicle. These systems may, for example, provide spot illumination to moving objects or pedestrians on the road surface, with the spot illumination following the moving object. Alternatively or in addition these systems may project images on the ground, for example to communicate information to occupants of the vehicle, to occupants of another vehicle, or to pedestrians.