A route conflict with emergency vehicle identification system includes an infrastructure receiving vehicle location, speed and trajectory information of an emergency vehicle. An automobile vehicle is in communication with the infrastructure and receives the vehicle location, speed and trajectory information of the emergency vehicle. A navigation system of the automobile vehicle operates using global positioning system (GPS) data and preloaded map data to generate a map identifying at least one roadway and a potential conflict on the at least one roadway between projected paths of the emergency vehicle and the automobile vehicle on the at least one roadway. A head-up display or a head-down display of the automobile vehicle visually presents the potential conflict.

An autonomous vehicle includes audio sensors configured to detect audio in an environment around the autonomous vehicle and to generate audio signals based on the detected audio. A processor in the autonomous vehicle receives the audio signals and compares a time domain or frequency domain representation of the audio signals to a corresponding representation of a known emergency vehicle siren. The comparison causes the processor to output a first determination indicating whether the audio signals are indicative of an emergency vehicle siren. The processor also applies a trained neural network to the audio signals that causes the processor to output a second determination indicating whether the audio signals are indicative of the emergency vehicle siren. If the first determination or the second determination indicates presence of an emergency vehicle siren in the environment around the autonomous vehicle, the autonomous vehicle is caused to perform an action.

An autonomous vehicle includes audio sensors configured to detect audio in an environment around the autonomous vehicle and to generate audio signals based on the detected audio. A processor in the autonomous vehicle receives the audio signals and compares a time domain or frequency domain representation of the audio signals to a corresponding representation of a known emergency vehicle siren. The comparison causes the processor to output a first determination indicating whether the audio signals are indicative of an emergency vehicle siren. The processor also applies a trained neural network to the audio signals that causes the processor to output a second determination indicating whether the audio signals are indicative of the emergency vehicle siren. If the first determination or the second determination indicates presence of an emergency vehicle siren in the environment around the autonomous vehicle, the autonomous vehicle is caused to perform an action.

Provided is a control method of a vehicle comprising a communicator configured to receive emergency vehicle information from outside, the control method including: receiving the emergency vehicle information and acquiring an emergency route of an emergency vehicle from the emergency vehicle information; comparing the emergency route with a first movement path of the vehicle; and changing from the first movement path to a second movement path, when at least a portion of the emergency route is identical to at least a portion of the first movement path as a result of the comparison.

Provided is a control method of a vehicle comprising a communicator configured to receive emergency vehicle information from outside, the control method including: receiving the emergency vehicle information and acquiring an emergency route of an emergency vehicle from the emergency vehicle information; comparing the emergency route with a first movement path of the vehicle; and changing from the first movement path to a second movement path, when at least a portion of the emergency route is identical to at least a portion of the first movement path as a result of the comparison.

Vehicles in traffic are expected to communicate wirelessly, to avoid collisions and facilitate the flow of traffic. Unfortunately, in 5G and 6G, the process of finding a wireless address of a specific vehicle is slow and difficult. Disclosed is a “connectivity matrix”, an emblem that vehicles can display, showing a pattern of black and white squares that forms a unique code. Another vehicle can autonomously read the code and look up the wireless address in a tabulation. The tabulation relates each code to the relevant wireless address, and optionally other information about the vehicle. The two vehicles can then transfer messages, including emergency messages, without delay. At freeway speeds, this can save lives. A central entity maintains the tabulation, ensuring that each wireless address is associated with a unique connectivity matrix code. Roadside companies and access points can also display a connectivity matrix, promote communication with prospective customers.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

In identifying vehicle navigation requirements using augmented reality, one vehicle determines that an event has occurred that concerns operation of the vehicle. The vehicle determines its current location, creates a notification message corresponding to navigation requirements matching the current location and the event, and sends the notification message. Another vehicle receives the notification message. In response, the other vehicle determines its current environment and a correlation between the navigation requirements and the current environment. An augmented reality system of the other vehicle displays alerts for the navigation requirements overlaid on a display of the current environment based on the correlation. I this manner, vehicle drivers are alerted to the navigation requirements applicable in particular locations or jurisdictions.

A method is disclosed for vehicular operation on a road comprising a road network configured to communicate with one or more vehicles on the road, the method comprising sending a signal from a first vehicle to the road network, the signal comprising an intended path of the first vehicle on the road; receiving the signal at the road network; and adjusting at least one of a speed and a path of a second vehicle with respect to the road in response to the signal.

A vehicle lighting system provided in a vehicle includes: a lighting unit configured to emit light toward outside of a vehicle; and a lighting control unit configured to control the lighting unit such that the lighting unit visually presents, to an oncoming vehicle present ahead of the vehicle, predetermined information on traveling support of the oncoming vehicle, based on a vehicle width of the oncoming vehicle and a road width in a lateral region of the vehicle.