Bayerische Motoren Werke Aktiengesellschaft

Mandar Pitale

Sebastian Gruenwedel

Benjamin Sobotta

Christian Connette

Christian Rempis

Sebastian GRÜNWEDEL

A vehicle behavior of a monitored vehicle is learned. A vehicle illumination of the monitored vehicle is detected and monitored. If a light-pattern occurs in the detected vehicle illumination, wherein the light-pattern corresponds to a frequency, intensity and/or color dependent glowing of the vehicle illumination, and further wherein the light-pattern starts with a flashing up of the detected vehicle illumination and ends after a certain time without glowing of the respective part of the detected vehicle illumination, then the method further monitors the light-pattern; monitors a vehicle movement of the monitored vehicle during the occurrence of the light-pattern; and compares the monitored light-pattern with a known light-pattern from a light-pattern data entry stored in an light-pattern database. If the comparison results in the monitored light-pattern being unknown, the method stores the light-pattern and the vehicle movement together as a new light-pattern data entry in the light-pattern database.

Method for learning a vehicle behavior of a monitored automobile and a respective automobile

A method for collision avoidance of a motor vehicle with an emergency vehicle includes detecting surroundings of the motor vehicle using an optical detection arrangement, detecting wider surroundings of the motor vehicle using an acoustic detection arrangement, and detecting traffic users in the surroundings. The wider surroundings are investigated to detect a signal indicative of an emergency signal of the emergency vehicle, and a trajectory of motion for each of the detected traffic user is determined. If emergency signal is detected, a further investigation is undertaken to detect behavior that is indicative of a hazardous situation in the surroundings. If the behavior indicative of the hazardous situation detected, then the method also includes locating a position of the emergency vehicle and determining a trajectory of motion for the emergency vehicle based on the position of the emergency vehicle and the determined trajectories of motion of the detected traffic users. In addition, it is determined whether a collision of the motor vehicle with the emergency vehicle will occur for a current trajectory of motion of the motor vehicle based on the determined trajectory of motion for the emergency vehicle, and a warning is output to a user of the motor vehicle based on determining that the collision will occur.

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Neu-Ulm, Germany

Mandar Pitale