Adaptive NonStationary Kernel Regression for Terrain Modeling Tobias Lang Christian Plagemann Wolfram Burgard AlbertLudwigsUniversity of Freiburg Department for Co mputer Science Freiburg Germany la
unifreiburgde Abstract Threedimensional digital terrain models are of fundamental importance in many areas such as the geosciences and outdoor robotics Accurate modeling requires the ability to deal with a varying data density and to balance smoothi
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