Grid-based visual terrain classification for outdoor robots using local features
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Andreas Zell | Karsten Bohlmann | Yasir Niaz Khan | Philippe Komma | A. Zell | P. Komma | K. Bohlmann
[1] Moulay A. Akhloufi,et al. Locally adaptive texture features for multispectral face recognition , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.
[2] Phil Brodatz,et al. Textures: A Photographic Album for Artists and Designers , 1966 .
[3] Ben Taskar,et al. Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields , 2008, 2008 IEEE International Conference on Robotics and Automation.
[4] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[5] John C. Platt. Using Analytic QP and Sparseness to Speed Training of Support Vector Machines , 1998, NIPS.
[6] Cordelia Schmid,et al. A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Pau-Choo Chung,et al. Contrast Context Histogram - A Discriminating Local Descriptor for Image Matching , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[8] James M. Rehg,et al. Traversability classification using unsupervised on-line visual learning for outdoor robot navigation , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[9] Xiaoyang Tan,et al. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions , 2007, IEEE Transactions on Image Processing.
[10] Alonzo Kelly,et al. Terrain typing for real robots , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.
[11] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[12] Martial Hebert,et al. Natural terrain classification using 3-d ladar data , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[13] Rama Chellappa,et al. Unsupervised Texture Segmentation Using Markov Random Field Models , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Pietro Perona,et al. Learning and prediction of slip from visual information , 2007, J. Field Robotics.
[15] Pietro Perona,et al. Learning and prediction of slip from visual information: Research Articles , 2007 .
[16] Larry H. Matthies,et al. Learning long-range terrain classification for autonomous navigation , 2008, 2008 IEEE International Conference on Robotics and Automation.
[17] Vincent Lepetit,et al. DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Martial Hebert,et al. Classifier fusion for outdoor obstacle detection , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[19] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[20] Brian H. Wilcox,et al. Non-geometric hazard detection for a Mars microrover , 1994 .
[21] Steven Dubowsky,et al. Terrain estimation for high-speed rough-terrain autonomous vehicle navigation , 2002, SPIE Defense + Commercial Sensing.
[22] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[23] Andrew Zisserman,et al. A Statistical Approach to Texture Classification from Single Images , 2004, International Journal of Computer Vision.
[24] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[25] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[26] Pau-Choo Chung,et al. Contrast context histogram - An efficient discriminating local descriptor for object recognition and image matching , 2008, Pattern Recognit..
[27] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[28] Andreas Zell,et al. Adaptive bayesian filtering for vibration-based terrain classification , 2009, 2009 IEEE International Conference on Robotics and Automation.