Terrain Classification and Classifier Fusion for Planetary Exploration Rovers
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Karl Iagnemma | Christopher A. Brooks | Ibrahim Halatci | K. Iagnemma | C. A. Brooks | I. Halatci | Christopher A. Brooks
[1] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[2] Charles A. Bouman,et al. Multiple Resolution Segmentation of Textured Images , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[3] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[4] J. M. Hans du Buf,et al. A review of recent texture segmentation and feature extraction techniques , 1993 .
[5] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[6] Padhraic Smyth,et al. Clustering Using Monte Carlo Cross-Validation , 1996, KDD.
[7] Jeff A. Bilmes,et al. A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models , 1998 .
[8] Terrance L. Huntsberger,et al. Wavelet-based fractal signature analysis for automatic target recognition , 1998 .
[9] Robert Mandelbaum,et al. Real-time stereo processing, obstacle detection, and terrain estimation from vehicle-mounted stereo cameras , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).
[10] Aleksandra Mojsilovic,et al. On the Selection of an Optimal Wavelet Basis for Texture Characterization , 1998, ICIP.
[11] Trygve Randen,et al. Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Roberto Manduchi,et al. Independent component analysis of textures , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[13] Roberto Manduchi,et al. Bayesian fusion of color and texture segmentations , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[14] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[15] Roberto Manduchi,et al. Terrain perception for DEMO III , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).
[16] V. Gulick,et al. LANDER DETECTION AND IDENTIFICATION OF HYDROTHERMAL DEPOSITS , 2000 .
[17] Christopher Rasmussen,et al. Laser Range-, Color-, and Texture-based Classiers for Segmenting Marginal Roads , 2001, CVPR 2001.
[18] J. Garvin,et al. Mars exploration , 2001, Nature.
[19] E. Mjolsness,et al. AUTONOMOUS ROCK DETECTION FOR MARS TERRAIN , 2001 .
[20] Steven Dubowsky,et al. Terrain estimation for high-speed rough-terrain autonomous vehicle navigation , 2002, SPIE Defense + Commercial Sensing.
[21] Larry Matthies,et al. Stereo vision and rover navigation software for planetary exploration , 2002, Proceedings, IEEE Aerospace Conference.
[22] Roberto Manduchi,et al. A Study on Bayes Feature Fusion for Image Classification , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.
[23] Raul A. Romero,et al. Athena Mars rover science investigation , 2003 .
[24] Martial Hebert,et al. Sensor and classifier fusion for outdoor obstacle detection: an application of data fusion to autonomous off-road navigation , 2003, 32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings..
[25] Terrence Fong,et al. Far-field terrain evaluation using geometric and toposemantic vision , 2004 .
[26] Christopher Allen Brooks,et al. Terrain identification methods for planetary exploration rovers , 2004 .
[27] Martial Hebert,et al. Classifier fusion for outdoor obstacle detection , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[28] Roberto Manduchi,et al. Learning Outdoor Color Classification from Just One Training Image , 2004, ECCV.
[29] L. Matthies,et al. Enhanced real-time stereo using bilateral filtering , 2004 .
[30] 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.
[31] Carl A. Moore,et al. TERRAIN ESTIMATION USING INTERNAL SENSORS , 2004 .
[32] Roy D. Wallen,et al. The Illustrated Wavelet Transform Handbook , 2004 .
[33] N.M. Rajpoot,et al. Wavelets and support vector machines for texture classification , 2004, 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004..
[34] Alonzo Kelly,et al. Toward Reliable Off Road Autonomous Vehicles Operating in Challenging Environments , 2006, Int. J. Robotics Res..
[35] Helge J. Ritter,et al. The Cyborg Astrobiologist: Scouting Red Beds for Uncommon Features with Geological Significance , 2005, ArXiv.
[36] D. Wettergreen,et al. Automatic detection and classification of features of geologic interest , 2005, 2005 IEEE Aerospace Conference.
[37] Aaron C. Courville,et al. Interacting Markov Random Fields for Simultaneous Terrain Modeling and Obstacle Detection , 2005, Robotics: Science and Systems.
[38] R. Castano,et al. Current results from a rover science data analysis system , 2005, 2005 IEEE Aerospace Conference.
[39] Karl Iagnemma,et al. Vibration-based terrain classification for planetary exploration rovers , 2005, IEEE Transactions on Robotics.
[40] Roberto Manduchi,et al. Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation , 2005, Auton. Robots.
[41] 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..
[42] Pietro Perona,et al. Slip Prediction Using Visual Information , 2006, Robotics: Science and Systems.
[43] Sebastian Thrun,et al. Stanley: The robot that won the DARPA Grand Challenge , 2006, J. Field Robotics.
[44] Pietro Perona,et al. Learning to predict slip for ground robots , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[45] Gary Witus,et al. Terrain characterization and classification with a mobile robot , 2006, J. Field Robotics.
[46] J. Andrew Bagnell,et al. Improving robot navigation through self‐supervised online learning , 2006, J. Field Robotics.
[47] J.J. Biesiadecki,et al. The Mars Exploration Rover surface mobility flight software driving ambition , 2006, 2006 IEEE Aerospace Conference.