A lighting control method for use in a first vehicle is provided. The method includes receiving an optical signal from a lamp of a second vehicle; identifying a pulse signal included in the optical signal; determining a position of the second vehicle relative to the first vehicle; and controlling a lamp of the first vehicle in accordance with the position of the second vehicle and the pulse signal.

An apparatus configured for controlling lamps of platooning vehicles including a leading vehicle and a plurality of following vehicles, may include a memory configured to store information related to the following vehicles; and a controller configured to collectively control lamps of the leading vehicle and following vehicles in a response to events occurring in the leading vehicle and following vehicles.

An apparatus configured for controlling lamps of platooning vehicles including a leading vehicle and a plurality of following vehicles, may include a memory configured to store information related to the following vehicles; and a controller configured to collectively control lamps of the leading vehicle and following vehicles in a response to events occurring in the leading vehicle and following vehicles.

A self-assembling network is configured to automatically and dynamically connect devices used in operations carried out on or near roads bearing vehicle and pedestrian traffic. An automatic, ad hoc network connecting existing and new devices can be used to enhance safety by gathering and exchanging safety critical information. In some cases, existing equipment can be augmented with a network controller and radio frequency communications to permit the devices to join a wireless local network and exchange information over the network. New devices, including wearable devices, can be configured to act as nodes on the wireless local network. Establishing the relative position of vehicles, sensors, wearables, and other nodes on the disclosed ad hoc wireless network allows the coordination of functions based on position.

In an aspect, a method of wireless communication performed by a vehicle-to-everything (V2X) device onboard a vehicle includes receiving one or more V2X safety messages indicating a potential safety condition related to illumination of an object; determining, in response to the one or more V2X safety messages, that the object is within or approaching a target area in which illumination of the object by headlights of the vehicle can be adjusted; and controlling an illumination intensity and/or an illumination pattern of the headlights of the vehicle in response to determining that the object is within the target area.

A method, apparatus, and computer program product are described herein for determining pedestrian behavior profiles for road segments of a road network, from those pedestrian behavior profiles, determining the likelihood that an adverse pedestrian event will occur, and determining the action to be taken in response. Example embodiments may provide a mapping system including: a memory having map data; and processing circuitry. The processing circuitry may be configured to: receive data points associated with pedestrian movement; associate pedestrian movement with a road segment; determine, based on the data points, a pedestrian behavior profile for the road segment; and in response to the pedestrian behavior profile for the road segment indicating a likelihood for an adverse pedestrian event that satisfies a predetermined likelihood, cause at least one action in response thereto.

A self-assembling network is configured to automatically and dynamically connect devices used in operations carried out on or near roads bearing vehicle and pedestrian traffic. An automatic, ad hoc network connecting existing and new devices can be used to enhance safety by gathering and exchanging safety critical information. In some cases, existing equipment can be augmented with a network controller and radio frequency communications to permit the devices to join a wireless local network and exchange information over the network. New devices, including wearable devices, can be configured to act as nodes on the wireless local network. Establishing the relative position of vehicles, sensors, wearables, and other nodes on the disclosed ad hoc wireless network allows the coordination of functions based on position.

A self-assembling network is configured to automatically and dynamically connect devices used in operations carried out on or near roads bearing vehicle and pedestrian traffic. An automatic, ad hoc network connecting existing and new devices can be used to enhance safety by gathering and exchanging safety critical information. In some cases, existing equipment can be augmented with a network controller and radio frequency communications to permit the devices to join a wireless local network and exchange information over the network. New devices, including wearable devices, can be configured to act as nodes on the wireless local network. Establishing the relative position of vehicles, sensors, wearables, and other nodes on the disclosed ad hoc wireless network allows the coordination of functions based on position.

A system including a computer for a vehicle is programmed to identify the vehicle as a lead vehicle in a platoon of three or more vehicles, and to identify one of the vehicles in the platoon as a caboose vehicle. The computer is programmed to deactivate a rear light of the lead vehicle, and to instruct activation of a rear light of the caboose vehicle.

A method for capturing objects in the environment of a vehicle includes generating a first light pattern in the environment of the vehicle using a light-emitting apparatus of the vehicle; generating a second light pattern in the environment of the vehicle using an alter light-emitting apparatus of an alter vehicle; transmitting generation parameters of the second light pattern from the alter vehicle to the vehicle; optically capturing the first light pattern and the second light pattern using a capturing module of the vehicle; and generating a depth image of at least part of the environment of the vehicle on the basis of the captured light patterns and the transmitted generation parameters.