Will It Last? Learning Stable Features for Long-Term Visual Localization
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Roland Siegwart | Igor Gilitschenski | Juan I. Nieto | Elena Stumm | Marcin Dymczyk | Juan Nieto | R. Siegwart | Igor Gilitschenski | Marcin Dymczyk | E. Stumm
[1] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[2] Paul Newman,et al. Made to measure: Bespoke landmarks for 24-hour, all-weather localisation with a camera , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[3] Winston Churchill,et al. Experience-based navigation for long-term localisation , 2013, Int. J. Robotics Res..
[4] Panu Turcot,et al. Better matching with fewer features: The selection of useful features in large database recognition problems , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[5] Torsten Sattler,et al. Scalable 6-DOF Localization on Mobile Devices , 2014, ECCV.
[6] Yaser Sheikh,et al. 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[7] Joseph G. Ibrahim,et al. Bayesian Survival Analysis , 2004 .
[8] 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).
[9] Roland Siegwart,et al. BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.
[10] Tomás Pajdla,et al. Avoiding Confusing Features in Place Recognition , 2010, ECCV.
[11] Kurt Konolige,et al. Towards lifelong visual maps , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[12] Michael Bosse,et al. Placeless Place-Recognition , 2014, 2014 2nd International Conference on 3D Vision.
[13] Guang-Zhong Yang,et al. Generative Methods for Long-Term Place Recognition in Dynamic Scenes , 2013, International Journal of Computer Vision.
[14] Michael Bosse,et al. Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization , 2015, Robotics: Science and Systems.
[15] Jianliang Tang,et al. Complete Solution Classification for the Perspective-Three-Point Problem , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Stergios I. Roumeliotis,et al. A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[17] John J. Leonard,et al. Towards lifelong feature-based mapping in semi-static environments , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[18] A. Verri,et al. A compact algorithm for rectification of stereo pairs , 2000 .
[19] Cordelia Schmid,et al. Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search , 2008, ECCV.
[20] Trevor Darrell,et al. Recognizing Image Style , 2013, BMVC.
[21] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[22] Torsten Sattler,et al. Fast image-based localization using direct 2D-to-3D matching , 2011, 2011 International Conference on Computer Vision.
[23] Reinhard Koch,et al. A simple and efficient rectification method for general motion , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[24] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[25] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[26] Achim J. Lilienthal,et al. SIFT, SURF & seasons: Appearance-based long-term localization in outdoor environments , 2010, Robotics Auton. Syst..
[27] Olivier Stasse,et al. MonoSLAM: Real-Time Single Camera SLAM , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[29] Pierre Vandergheynst,et al. FREAK: Fast Retina Keypoint , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Jan-Michael Frahm,et al. Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[31] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[33] Roberto Manduchi,et al. Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[34] Paul Newman,et al. Work smart, not hard: Recalling relevant experiences for vast-scale but time-constrained localisation , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[35] Vincent Lepetit,et al. View-based Maps , 2010, Int. J. Robotics Res..
[36] Konrad Schindler,et al. Predicting Matchability , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Paul Newman,et al. Learning place-dependant features for long-term vision-based localisation , 2015, Auton. Robots.
[38] Ryan M. Eustice,et al. University of Michigan North Campus long-term vision and lidar dataset , 2016, Int. J. Robotics Res..