Robert Boschgmbh

Tjark Vandommele

Felix Wulf

Johannes Ludwig Foltin

Ulf Wilhelm

Sybille Eisele

Folko Flehmig

Peter Sautter

Claus Marberger

Svetlana Rau

Stephanie Arramon

Norman Fournier

A method for operating an automated vehicle. The method includes: detecting surroundings of the vehicle; providing surroundings data of the detected surroundings; supplying the surroundings data to a situation detection unit including a defined number greater than one of situation detection elements; computationally modeling the surroundings of the vehicle with the aid of the situation detection elements; activating driver assistance systems using output data of the models of the situation detection elements; deciding, with the aid of a decision-making unit, which output data of the models of the situation detection elements are used for activating an actuator unit of the vehicle; and activating the actuator unit of the vehicle using the decided-upon output data.

Method and device for operating an automated vehicle

A method for assisting a driver during the deactivation of a highly automated driving mode of a vehicle. In this context, a takeover signal, which represents a takeover of control of the vehicle by the driver, and auxiliary information are read in. The auxiliary information includes image information representing the driver and/or vehicle-control information representing a control of the vehicle by the driver. In a further step, a degree of attentiveness of the driver is determined, using the takeover signal and the auxiliary information. Finally, using the degree of attentiveness, an assistance signal is output to assist the driver during the takeover of control, by activating at least one driver-assistance function of the vehicle.

Method and device for assisting a driver during the deactivation of a highly automated driving mode of a vehicle

A method for classifying eye opening data of an occupant's eye in a vehicle, to detect drowsiness/microsleep, including generating a first eye opening data record at a first measuring time in a sliding time window, the first record including a measuring point, representing a first eye opening degree, a first eyelid speed and/or acceleration of motion of the occupant's eye at the first measuring time; acquiring a second eye opening data record at a second measuring time, the second record including at least one acquisition point, representing a second eye opening degree, a second eyelid speed of motion and/or acceleration of motion of the occupant's eye; and executing a cluster analysis, using the measuring point and the acquisition point to assign at least the first and/or second record to a first data cluster, to classify the eye opening data; the first cluster representing an opening state of the occupant's eye.

Method and device for classifying eye opening data of at least one eye of an occupant of a vehicle, and method and device for detecting drowsiness and/or microsleep of an occupant of a vehicle

A method for distinguishing blinking events and instrument gazes on the basis of an eye-opening width. The eye-opening width represents an instantaneously detected clearance between the eyelids of an eye. In a step of ascertaining, a blinking event is ascertained using at least one blinking limit value. The blinking event is ascertained when an opening width value, which represents the eye-opening width, is smaller than the blinking limit value. In a step of determining, an instrument gaze is determined using a maximum blinking duration. The instrument gaze is determined when the detected blinking event is detected as lasting longer than the maximum blinking duration. The steps of the method are able to be carried out anew when the opening width value is greater than an open limit value following the determination of the instrument gaze.

Method and device for distinguishing blinking events and instrument gazes using an eye opening width

A method for furnishing a warning signal of a detected imminent microsleep event includes reading in at least one behavior pattern that represents a behavior of a driver while driving the vehicle, comparing the behavior pattern with at least one stored pre-microsleep pattern that represents an individual behavior that has taken place or is taking place prior to a microsleep event on the part of the driver, and outputting the warning signal if a predetermined relationship exists between the behavior pattern and the pre-microsleep pattern.

Method for furnishing a warning signal, and method for generating a pre-microsleep pattern for detection of an impending microsleep event for a vehicle

A method for determining a drowsiness value that represents the drowsiness of a driver of a motor vehicle and is determined cyclically over defined time intervals on the basis of at least one drowsiness characteristic, includes the task of determining a drowsiness value of a time interval to be assessed, in addition to the drowsiness characteristic, at least one drowsiness base value is taken into account.

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Stuttgart, Germany

Tjark Vandommele