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FUSION OF DIFFERENT SENSORS AND ALGORITHMS FOR SEGMENTATION

In this paper, the authors present a method for fusing algorithms and sensors for image segmentation, a process which is used in automatic traffic scene analysis. Three different solutions for image segmentation by fusion are presented and compared. The fusion of base algorithms with color information and a sensor fusion process of an optical and a radar sensor including a feedback over time is presented. A feature-in decision-out fusion process is also solved with a multi-layer perceptron (MLP) used as a coupling net.