Robert Boschgmbh

Henning Voelz

Stefan Nordbruch

Stephan Simon

Sebastian Lindner

Holger Niemann

Tobias Rentschler

Wolfgang Niem

Axel Vogler

Toni Manuel Scheschko

Florian Feile

Marcus Lorei

Christoph Roessig

A method for outputting a trigger signal for an acoustic warning signal of a rail vehicle, includes reading in a piece of signal information detected by an image sensor of the rail vehicle, comparing the piece of signal information to at least one stored piece of reference signal information to classify the piece of signal information as a warning sign requiring an output of an acoustic warning signal, and providing a trigger signal to an output unit of the rail vehicle for outputting an acoustic warning signal.

Method and device for outputting an acoustic warning signal of a rail vehicle and warning system for a rail vehicle

A method for adjusting an intervention torque of a steering assistance system on a steering system of a vehicle in the context of a required lane change, the method encompassing a step of adapting a magnitude of the intervention torque in response to a detected marking that announces a lane merge in advance of a beginning of said merge.

Method and device for adjusting an intervention torque of a steering assistance system

A device for classifying at least one object in the surrounding field of a vehicle with the aid of an environmental sensor system, the device classifying the at least one object on the basis of its shape and its dimensions, and the environmental sensor system ascertaining the dimensions.

Device for classifying at least one object in the surrounding field of a vehicle

Classification methods are described that proceed in computer-assisted fashion, and in particular a method for evaluation and stabilization over time of classification results is described in which objects to be classified are sensed using sensors over a period of time, and are repeatedly classified with the inclusion of specific quality parameters for each object class. To ensure better classification reliability, the following steps may be carried out: a) increasing the value of the confidence parameter if a subsequent classification confirms the result of a previous classification; b) decreasing the value of the confidence parameter if a subsequent classification does not confirm the result of a previous classification; and c) generating a final classification result including the confidence parameters that have been increased or decreased in value.

Method for evaluation and stabilization over time of classification results

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Stuttgart, Germany

Henning Voelz