Daimler Chrysler Ag

Frank Lindner

Reinhard Janssen

Berthold Ulmer

Ulrich Kressel

Christian W&ouml;hler

A method and device that increase the performance of prior art systems that recognize and display the contents of traffic signs. The amount of computer capacity required for real time operation is reduced and the display quality of the contents of known traffic signs is improved. The system for recognizing and/or displaying traffic signs comprises a camera and an evaluation unit connected thereto for image recognition and/or display. The system uses information stemming from at least one map-based navigation system and/or one travel information system in order to recognize and/or display the contents of traffic signs.

Method for increasing the power of a traffic sign recognition system

The invention concerns a process and a device, which make it possible to reliably, with the least amount of computing power, recognize traffic signs and to display these as memory aids for an observer. Image data of an image sensor are analyzed and classified in an information processing unit, and on the basis of the results classification image segments and/or symbolic image representing data stored in a memory unit are recorded in a memory unit and are displayed by means of a display unit. In the further processing of the image data, extracted objects are separated and classified into traffic sign specific upper classes and lower classes. Subsequently, a synthetic image of a traffic sign is generated, stored in a memory unit, and displayed by means of a display unit.

Device and method for recognizing traffic signs

A process for the processing of signals by which signal S is optimally verified for association with objects of a desired class Z (wherein (with 1<&equals;k<&equals;number of different classes) and differentiated from undesired objects. One or more classes Z of undesired objects, and beyond this, as an additional class, a rejection class R is defined, to which all signals are assigned which are not clearly assignable to one of classes Z or Z . Herein the decision criteria under which a signal S is assigned to the reject class R is the comparison of the output value P with the adjustable threshold value t, which is provided by a classification algorithm.

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Blaustein, Germany

Frank Lindner