Fast and Incremental Loop Closure Detection Using Proximity Graphs
暂无分享,去创建一个
Xianglong Liu | Xin Ma | Yu Chen | Shan An | Guangfu Che | Fangru Zhou | Xianglong Liu | Xin Ma | Shan An | Fangru Zhou | Guangfu Che | Yu Chen
[1] Shilin Zhou,et al. BoCNF: efficient image matching with Bag of ConvNet features for scalable and robust visual place recognition , 2018, Auton. Robots.
[2] Bolei Zhou,et al. Learning Deep Features for Scene Recognition using Places Database , 2014, NIPS.
[3] Niko Sünderhauf,et al. On the performance of ConvNet features for place recognition , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[4] 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).
[5] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] Dorian Gálvez-López,et al. Bags of Binary Words for Fast Place Recognition in Image Sequences , 2012, IEEE Transactions on Robotics.
[7] Hong Zhang,et al. An efficient index for visual search in appearance-based SLAM , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[8] Francisco Angel Moreno,et al. A collection of outdoor robotic datasets with centimeter-accuracy ground truth , 2009, Auton. Robots.
[9] Jörg Stückler,et al. Large-scale direct SLAM with stereo cameras , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[10] Jean-Arcady Meyer,et al. Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words , 2008, IEEE Transactions on Robotics.
[11] Antonio Torralba,et al. Context-based vision system for place and object recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[12] Cordelia Schmid,et al. Product Quantization for Nearest Neighbor Search , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Dirk Wollherr,et al. IBuILD: Incremental bag of Binary words for appearance based loop closure detection , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[14] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[15] Shilin Zhou,et al. Convolutional neural network-based image representation for visual loop closure detection , 2015, 2015 IEEE International Conference on Information and Automation.
[16] Paul Newman,et al. Appearance-only SLAM at large scale with FAB-MAP 2.0 , 2011, Int. J. Robotics Res..
[17] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[18] John J. Leonard,et al. Robust Mapping and Localization in Indoor Environments Using Sonar Data , 2002, Int. J. Robotics Res..
[19] 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).
[20] Alexandr Andoni,et al. Optimal Data-Dependent Hashing for Approximate Near Neighbors , 2015, STOC.
[21] Rafael García,et al. Automatic Visual Bag-of-Words for Online Robot Navigation and Mapping , 2012, IEEE Transactions on Robotics.
[22] Hugh Durrant-Whyte,et al. Simultaneous localization and mapping (SLAM): part II , 2006 .
[23] Yang Liu,et al. Indexing visual features: Real-time loop closure detection using a tree structure , 2012, 2012 IEEE International Conference on Robotics and Automation.
[24] David G. Lowe,et al. Scalable Nearest Neighbor Algorithms for High Dimensional Data , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Hanqing Lu,et al. Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Vincent Lepetit,et al. BRIEF: Binary Robust Independent Elementary Features , 2010, ECCV.
[27] Jon M. Kleinberg,et al. Navigation in a small world , 2000, Nature.
[28] Winston Churchill,et al. The New College Vision and Laser Data Set , 2009, Int. J. Robotics Res..
[29] Kurt Konolige,et al. Incremental mapping of large cyclic environments , 1999, Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation. CIRA'99 (Cat. No.99EX375).
[30] Paul Newman,et al. FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance , 2008, Int. J. Robotics Res..
[31] Antonios Gasteratos,et al. Assigning Visual Words to Places for Loop Closure Detection , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[32] Gary R. Bradski,et al. ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.
[33] Bolei Zhou,et al. Places: A 10 Million Image Database for Scene Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Michael Milford,et al. Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free , 2015, Robotics: Science and Systems.
[35] Hugh F. Durrant-Whyte,et al. Simultaneous localization and mapping: part I , 2006, IEEE Robotics & Automation Magazine.
[36] Roland Siegwart,et al. Visual place recognition with probabilistic voting , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[37] Yury A. Malkov,et al. Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Josef Sivic. Efficient visual search of images videos , 2006 .
[39] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[40] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.