Assigning Visual Words to Places for Loop Closure Detection
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[1] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[2] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[3] Paul Newman,et al. Appearance-only SLAM at large scale with FAB-MAP 2.0 , 2011, Int. J. Robotics Res..
[4] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[5] Jannik Fritsch,et al. A new performance measure and evaluation benchmark for road detection algorithms , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).
[6] Winston Churchill,et al. The New College Vision and Laser Data Set , 2009, Int. J. Robotics Res..
[7] Michael Bosse,et al. Placeless Place-Recognition , 2014, 2014 2nd International Conference on 3D Vision.
[8] Stefano Soatto,et al. A Simple Hierarchical Pooling Data Structure for Loop Closure , 2015, ECCV.
[9] Hugh F. Durrant-Whyte,et al. Simultaneous localization and mapping: part I , 2006, IEEE Robotics & Automation Magazine.
[10] Bernd Fritzke,et al. A Growing Neural Gas Network Learns Topologies , 1994, NIPS.
[11] Rafael García,et al. Automatic Visual Bag-of-Words for Online Robot Navigation and Mapping , 2012, IEEE Transactions on Robotics.
[12] Jon Louis Bentley,et al. Multidimensional binary search trees used for associative searching , 1975, CACM.
[13] Paul Newman,et al. Loop closure detection in SLAM by combining visual and spatial appearance , 2006, Robotics Auton. Syst..
[14] Peter I. Corke,et al. Visual Place Recognition: A Survey , 2016, IEEE Transactions on Robotics.
[15] Luis Miguel Bergasa,et al. Fusion and binarization of CNN features for robust topological localization across seasons , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[16] Kai Ma,et al. Enhancing Place Recognition Using Joint Intensity - Depth Analysis and Synthetic Data , 2016, ECCV Workshops.
[17] Antonios Gasteratos,et al. Encoding the description of image sequences: A two-layered pipeline for loop closure detection , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[18] Dorian Gálvez-López,et al. Bags of Binary Words for Fast Place Recognition in Image Sequences , 2012, IEEE Transactions on Robotics.
[19] Cyrill Stachniss,et al. Simultaneous Localization and Mapping , 2016, Springer Handbook of Robotics, 2nd Ed..
[20] Juan D. Tardós,et al. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras , 2016, IEEE Transactions on Robotics.
[21] Roland Siegwart,et al. BRISK: Binary Robust invariant scalable keypoints , 2011, 2011 International Conference on Computer Vision.
[22] Francisco Angel Moreno,et al. A collection of outdoor robotic datasets with centimeter-accuracy ground truth , 2009, Auton. Robots.
[23] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[24] Jean-Arcady Meyer,et al. Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words , 2008, IEEE Transactions on Robotics.
[25] Roland Siegwart,et al. Visual Place Recognition with Probabilistic Vertex Voting , 2016, ArXiv.
[26] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.