Map quality evaluation for visual localization
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[1] Winston Churchill,et al. Off the beaten track: Predicting localisation performance in visual teach and repeat , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[2] Óscar Martínez Mozos,et al. A comparative evaluation of interest point detectors and local descriptors for visual SLAM , 2010, Machine Vision and Applications.
[3] Daniela Rus,et al. On mutual information-based control of range sensing robots for mapping applications , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[4] Paolo Valigi,et al. Perception-aware Path Planning , 2016, ArXiv.
[5] Timothy D. Barfoot,et al. Visual teach and repeat for long-range rover autonomy , 2010 .
[6] Michael Bosse,et al. Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization , 2015, Robotics: Science and Systems.
[7] David W. Murray,et al. Simultaneous Localization and Map-Building Using Active Vision , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Simon Lacroix,et al. Probabilistic place recognition with covisibility maps , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[9] Roland Siegwart,et al. BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.
[10] David Wettergreen,et al. Active SLAM and Loop Prediction with the Segmented Map Using Simplified Models , 2009, FSR.
[11] Cyrill Stachniss,et al. Information-theoretic compression of pose graphs for laser-based SLAM , 2012, Int. J. Robotics Res..
[12] Ron Alterovitz,et al. Fast Nearest Neighbor Search in SE(3) for Sampling-Based Motion Planning , 2014, WAFR.
[13] Ryan M. Eustice,et al. Real-Time Visual SLAM for Autonomous Underwater Hull Inspection Using Visual Saliency , 2013, IEEE Transactions on Robotics.
[14] Kai Hormann,et al. The point in polygon problem for arbitrary polygons , 2001, Comput. Geom..
[15] A. M. Andrew,et al. Another Efficient Algorithm for Convex Hulls in Two Dimensions , 1979, Inf. Process. Lett..
[16] Nicholas Roy,et al. Rapidly-exploring Random Belief Trees for motion planning under uncertainty , 2011, 2011 IEEE International Conference on Robotics and Automation.
[17] Roland Siegwart,et al. A synchronized visual-inertial sensor system with FPGA pre-processing for accurate real-time SLAM , 2014, ICRA 2014.
[18] Juan Andrade-Cetto,et al. Path planning in belief space with pose SLAM , 2011, 2011 IEEE International Conference on Robotics and Automation.
[19] W MurrayDavid,et al. Simultaneous Localization and Map-Building Using Active Vision , 2002 .
[20] Michael Bosse,et al. Keep it brief: Scalable creation of compressed localization maps , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[21] Ryan M. Eustice,et al. Risk aversion in belief-space planning under measurement acquisition uncertainty , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[22] Raffaele Di Gregorio,et al. A Novel Point of View to Define the Distance between Two Rigid-Body Poses , 2008 .
[23] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[24] Wolfram Burgard,et al. Active mobile robot localization by entropy minimization , 1997, Proceedings Second EUROMICRO Workshop on Advanced Mobile Robots.
[25] Pierre Vandergheynst,et al. FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Michael Bosse,et al. Keyframe-based visual–inertial odometry using nonlinear optimization , 2015, Int. J. Robotics Res..