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IROS
2008
IEEE
123views Robotics» more  IROS 2008»
13 years 11 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
VMV
2003
165views Visualization» more  VMV 2003»
13 years 6 months ago
C1-Continuous Terrain Reconstruction from Sparse Contours
Contour lines from topographic maps are still the most common form of elevation data for the Earth’s surface and in the case of historical landscapes, they often are the only av...
Kai Hormann, Salvatore Spinello, Peter Schröd...
ACIVS
2005
Springer
13 years 10 months ago
Image De-Quantizing via Enforcing Sparseness in Overcomplete Representations
We describe a method for removing quantization artifacts (de-quantizing) in the image domain, by enforcing a high degree of sparseness in its representation with an overcomplete or...
Luis Mancera, Javier Portilla
ISVC
2009
Springer
13 years 11 months ago
Edge-Preserving Laplacian Pyramid
5th International Symposium on Visual Computing, Las Vegas, Nevada, USA, Nov 30 - Dec 2, 2009 The Laplacian pyramid recursively splits an image into local averages and local diff...
Stella X. Yu
IJRR
2010
102views more  IJRR 2010»
13 years 3 months ago
Space-carving Kernels for Accurate Rough Terrain Estimation
Abstract— Accurate terrain estimation is critical for autonomous offroad navigation. Reconstruction of a 3D surface allows rough and hilly ground to be represented, yielding fast...
Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, ...