Daimler Chrysler Ag

Eads Deutschland Gmbh

Lfk-lenkflugkoerpersysteme Gmbh

Thomas Fechner

Oliver Rockinger

Rainer Hach

Christoph Stahl

Juergen A Topp

Stefan Heinrich

In the inventive process the morphological characteristics of point-shaped vehicle lane markers are evaluated on the basis of a priori knowledge. For this, those estimation processes are particularly useful, which are based on a Kalman Filter. After the selection of suitable ROI a Matched Filter is employed, in order to better extract from the background the image points associated with a vehicle lane marker. The inventive process is obviously not limited to point-shaped vehicle lane markers.

Process for recognition of lane markers using image data

Image data of optically acquired input images () are processed for emphasizing at least two object classes. Each pixel is subjected to a rough classification () based on first criteria that determine whether or not a pixel is relevant for an object recognition. A reduced image () is formed from the relevant pixels and irrelevant pixels are omitted. The reduced image () is filtered () for forming at least two correlated filtered images () based on second criteria. Classified images (A,A,A) are formed from the filtered images by classifiers that work in accordance with predetermined rules. Weighting factors are allocated to each object class. The classified images are merged in accordance with an algorithm to make a combined global evaluation for each object class. The global evaluation decides, based on the merged images (A,B,C), for each pixel whether the respective pixel belongs to an object class and if so to which object class.

Method for recognizing objects in an image pixel plane

A method for the detection of helicopters from a flying platform utilizes an imaging sensor. Relevant image regions of two successive images are subtracted from one another with respect to picture elements, and within the thus formed differential image, segments are identified by means of a threshold value process. Straight lines of the same orientation are adapted to the identified segments, and intersection points are determined for all such straight lines. Identification of a helicopter is made based on a bunching of the intersection points.

Method for the independent detection of helicopter

A process for recognizing the course of the road ahead for a motor vehicle shall be provided, in which the velocity of the vehicle is determined and the position and the velocity of objects located ahead are determined by rigid search antennas oriented in the direction of travel via a radar sensor system, and which makes possible a simple, forward-looking recognition of the course of the road by special evaluation of the measured position and velocity data available. The roadside-specific targets are filtered out of the fixed target by the threshold value comparison of the fixed target amplitudes, and the current distances between the vehicle and the side of the road are determined in discrete angle ranges by ordering filtration. The distances from the side of the road, estimated for each angle range, are sent as characteristics to a classifier for the prediction of the curve type lying ahead, and they are used as support values for a nonlinear regression to obtain a curvature parameter of the curve.

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Berlin, Germany

Thomas Fechner