Determining contextual priority of an autonomous vehicle and whether the passengers have a genuine event based on priority input, which is greater than a threshold and is classified as an emergency, activating the notification system to alert other vehicles.

A method and a corresponding device permit an at least partially computer-controlled and/or autonomous vehicle to communicate with its surroundings, in particular with a road user such as a person in its surroundings. A control unit for a vehicle is configured to receive surroundings data from one or more surroundings sensors of the vehicle and to detect at least one road user in the surroundings of the vehicle on the basis of the surroundings data. The control unit is configured to determine on the basis of the surroundings data whether there is a need for communication between the road user and the vehicle. The control unit is configured, if it has been determined that there is a need for communication between the road user and the vehicle, to actuate an adaptation system of the vehicle and/or one or more visual communication system in order to communicate with the road user.

A training system (10) for a vehicle control unit for detecting hazard sounds, in particular accident sounds, that has at least one interface (12) for inputting training data (15) containing an audio signal (16) and a target reaction signal (18) in each case, an evaluation unit (20) that forms an artificial neural network (22) and is configured for forward propagation of the artificial neural network (22) with training data (14) in order to calculate an actual reaction signal (24), and calculating weightings through backward propagation of the target reaction signal (18) in the artificial neural network (22), wherein the weightings are configured to be stored in the vehicle control unit for detecting accident sounds.

A sensing system for a vehicle includes a control and a plurality of sensors disposed at the vehicle. The plurality of sensors includes individual sensors connected as a chain of sensors to a vehicle network. Outputs of the sensors are communicated to the control, which, responsive to the outputs of the sensors, determines presence of one or more objects exterior the vehicle and within a field of sensing of at least one of the sensors. Responsive to determination that a given sensor is the last sensor in the chain of sensors, the sensing system provides a termination configuration at that sensor.

An image recognition-based intelligent alarm lamp includes a lighting device, a rotating mechanism, a high-definition camera, a DC motor, an LED alarm lamp and an embedded processing device. The lighting device is mounted onto the rotating mechanism and rotated with the rotating mechanism to illuminate an object from different directions; the DC motor is coupled to the rotating mechanism for driving the rotation of the rotating mechanism; the high-definition camera is provided for capturing a video stream around a police car; the embedded processing device is provided for receiving an image around the police car, determining whether or not to send a rotation drive signal to the DC motor based on the image around the police car, and determining a flashing method of the LED alarm lamp based on the image around the police car. This invention improves the level of recognizing a criminal around the police car.

An image recognition-based intelligent alarm lamp includes a lighting device, a rotating mechanism, a high-definition camera, a DC motor, an LED alarm lamp and an embedded processing device. The lighting device is mounted onto the rotating mechanism and rotated with the rotating mechanism to illuminate an object from different directions; the DC motor is coupled to the rotating mechanism for driving the rotation of the rotating mechanism; the high-definition camera is provided for capturing a video stream around a police car; the embedded processing device is provided for receiving an image around the police car, determining whether or not to send a rotation drive signal to the DC motor based on the image around the police car, and determining a flashing method of the LED alarm lamp based on the image around the police car. This invention improves the level of recognizing a criminal around the police car.

Disclosed herein are safety lighting systems comprising a plurality of lights configured for selective illumination in response to various signals and conditions of a vehicle.

Disclosed herein are safety lighting systems comprising a plurality of lights configured for selective illumination in response to various signals and conditions of a vehicle.

A system and method for Original Equipment Manufacturer (OEM) hard wired in-vehicle infotainment system software or firmware, Emergency Lighting and Siren Application, to activate all emergency lighting and sirens, using only OEM communication networks and OEM modules, while maintaining OEM operation that meets lighting and control functions in accordance with the National Highway and Safety and Transportation Administration (NHSTA) Federal Motor Vehicle Safety Standards (FMVSS) and Electronic Code of Federal Regulations (e-CFR).

The present disclosure provides a method and an apparatus for recognizing an emergency vehicle. An apparatus for recognizing an emergency vehicle is provided, including a processor; and a memory configured to store at least one instruction executed by the processor. The processor is configured to control at least one or more sensors to recognize an approach of the emergency vehicle and a road condition, to determine an first avoidance location that is a location for an first car to move away from the emergency vehicle based on the road condition, to provide a first avoidance route that is a route for the first cat to move from a current location to the first avoidance location, and to control at least one projection device to project at least one of a first symbol indicating the approaching of the emergency vehicle or the first avoidance route.