Robert Boschgmbh

Daimler Ag

Mercedes-benz Group Ag

Frank Lindner

Robert Lutz

Libor Novak

Daniel Hundsdoerfer

Jonathan Kausch

Eugen Kaefer

A method () for detecting and classifying at least one object in road traffic is disclosed. Sensor data from a sensor are first of all provided. At least one object is detected and classified on the basis of the sensor data using a neural network. The object is additionally detected and classified on the basis of the sensor data using a symbolic monitoring algorithm. A check is carried out in order to determine whether the neural network and the symbolic monitoring algorithm provide consistent results with respect to the detection and classification of the object.

Method for detecting and classifying objects in road traffic

A method for evaluating a functionality of a camera arrangement including a pair of cameras using a control unit includes determining a first switching state of a light signal system based on a first measurement data from a first camera of the pair of cameras, and determining a second switching state of the light signal system based on a second measurement data from a second camera of the pair of cameras. The method evaluates the functionality of the camera arrangement based on the first switching state and the second switching state.

Detection of malfunctions of the switching state detection of light signal systems

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Ulm, Germany

Frank Lindner