Abstract: One general aspect of the present disclosure includes a method for warning of collision avoidance. The method may include receiving, with at least one server, position and movement information from a remote client, forming a motion model of the client including a predicted position of the client at a future time, and determining whether an object will be in a proximity of the position of the client at the time. If the object will be in the proximity of the position of the client at the time, the method may include determining a probability of a collision between the client and the object at the time. If the probability meets a threshold, the method may include transmitting a collision avoidance signal to at least one of the client and the object.

Abstract: One general aspect of the present disclosure includes a method for warning of collision avoidance. The method may include receiving, with at least one server, position and movement information from a remote client, forming a motion model of the client including a predicted position of the client at a future time, and determining whether an object will be in a proximity of the position of the client at the time. If the object will be in the proximity of the position of the client at the time, the method may include determining a probability of a collision between the client and the object at the time. If the probability meets a threshold, the method may include transmitting a collision avoidance signal to at least one of the client and the object.

Abstract: A vehicle system of a vehicle for a vehicle user having a camera, an evaluation unit which has a memory and is coupled to the camera, a communication device that is coupled to the evaluation unit, and a self-drive unit which is coupled to the evaluation unit for autonomously driving the vehicle. The camera views the face of the vehicle user and relays collected data to the evaluation unit. An artificial intelligence, in the evaluation unit, evaluates the data from the camera in relation to the attentiveness and emotion of the vehicle user. The evaluated data is stored in the memory of the evaluation unit. On the basis of a predetermined emotion or a lack of attentiveness of the vehicle user, recognized by the artificial intelligence, the vehicle user is notified of the emotion or the lack of attentiveness recognized and the self-drive unit can be activated.

Abstract: One general aspect of the present disclosure includes a method for warning of collision avoidance. The method may include receiving, with at least one server, position and movement information from a remote client, forming a motion model of the client including a predicted position of the client at a future time, and determining whether an object will be in a proximity of the position of the client at the time. If the object will be in the proximity of the position of the client at the time, the method may include determining a probability of a collision between the client and the object at the time. If the probability meets a threshold, the method may include transmitting a collision avoidance signal to at least one of the client and the object.

Abstract: A portable device for increasing road traffic safety, detecting emergencies and emitting an alarm call for a person. The portable device includes a communication device, a position-determining system, an evaluation unit and a vibration generator. The portable device communicates, by way of the communication device, with at least one further communication device of at least one external system. The person is warned by the vibration generator of a dangerous situation determined by the evaluation unit in combination with the position-determining system and the communication device. The dangerous situation is a collision of the person wearing the portable device with the at least one external system that includes the at least one further communication device. This collision is determined by way of a behavior prediction algorithm. When the, or a further dangerous situation arises, the portable device emits an alarm call by way of the communication device.

Abstract: A vehicle system of a vehicle for a vehicle user having a camera, an evaluation unit which has a memory and is coupled to the camera, a communication device that is coupled to the evaluation unit, and a self-drive unit which is coupled to the evaluation unit for autonomously driving the vehicle. The camera views the face of the vehicle user and relays collected data to the evaluation unit. An artificial intelligence, in the evaluation unit, evaluates the data from the camera in relation to the attentiveness and emotion of the vehicle user. The evaluated data is stored in the memory of the evaluation unit. On the basis of a predetermined emotion or a lack of attentiveness of the vehicle user, recognized by the artificial intelligence, the vehicle user is notified of the emotion or the lack of attentiveness recognized and the self-drive unit can be activated.

Abstract: A portable device for increasing road traffic safety, detecting emergencies and emitting an alarm call for a person. The portable device includes a communication device, a position-determining system, an evaluation unit and a vibration generator. The portable device communicates, by way of the communication device, with at least one further communication device of at least one external system. The person is warned by the vibration generator of a dangerous situation determined by the evaluation unit in combination with the position-determining system and the communication device. The dangerous situation is a collision of the person wearing the portable device with the at least one external system that includes the at least one further communication device. This collision is determined by way of a behavior prediction algorithm. When the, or a further dangerous situation arises, the portable device emits an alarm call by way of the communication device.