Optimized grid-based environment perception in advanced driver assistance systems

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.