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This paper deals with environmental perception for automobile application using an optimized grid-based modeling method. An overview and the challenges of current methods, namely object-based and grid-based sensor data fusion, are presented. Based on this, an optimized grid-based method using mathematical modeling and fuzzy logic is suggested as one of the first step to overcome these challenges. Reconstructed 3D-information from a stereo camera system is used as input data for our grid-based method. In addition to this the first experimental results are illustrated.