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Robust efficient loop closure detection is essential for large-scale real-time SLAM.
J. L. Bentley, “Multidimensional binary search trees used for associative searching,” Commun. ACM , vol. 18, no. 9, pp. 509–517, Sep. 1975
1975
Earlier work this paper cites.
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel, “Backpropagation applied to handwritten zip code recognition,” Neural Computation , vol. 1, no. 4, pp. 541–551, Dec 1989
1989
Earlier work this paper cites.
S. Dasgupta, “Experiments with random projection,” in Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence , ser. UAI ’00. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2000, pp. 143–151
2000
Earlier work this paper cites.
E. Bingham and H. Mannila, “Random projection in dimensionality reduction: Applications to image and text data,” in Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , ser. KDD ’01. New York, NY, USA: ACM, 2001, pp. 245–250
2001
Earlier work this paper cites.
R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision . Cambridge University Press, 2004
2004
Earlier work this paper cites.
N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection,” in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) , vol. 1, June 2005, pp. 886–893 vol. 1
2005
Earlier work this paper cites.
M. Cummins and P. Newman, “Fab-map: Probabilistic localization and mapping in the space of appearance,” The International Journal of Robotics Research , vol. 27, no. 6, pp. 647–665, 2008
2008
Earlier work this paper cites.
H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, “Speeded-up robust features (surf),” Comput. Vis. Image Underst. , vol. 110, no. 3, pp. 346–359, Jun. 2008
2008
Earlier work this paper cites.
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol, “Extracting and composing robust features with denoising autoencoders,” in Proceedings of the 25th International Conference on Machine Learning , ser. ICML ’08. New York, NY, USA: ACM, 2008, pp. 1096–1103
2008
Earlier work this paper cites.
M. Warren, D. McKinnon, H. He, and B. Upcroft, “Unaided stereo vision based pose estimation,” in Australasian Conference on Robotics and Automation , G. Wyeth and B. Upcroft, Eds. Brisbane: Australian Robotics and Automation Association, 2010
2010
Earlier work this paper cites.
E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, “Orb: An efficient alternative to sift or surf,” in 2011 International Conference on Computer Vision , Nov 2011, pp. 2564–2571
2011
Earlier work this paper cites.
M. Cummins and P. Newman, “Appearance-only SLAM at large scale with FAB-MAP 2.0,” The International Journal of Robotics Research , vol. 30, no. 9, pp. 1100–1123, 2011
2011
Earlier work this paper cites.
R. A. Newcombe, S. J. Lovegrove, and A. J. Davison, “Dtam: Dense tracking and mapping in real-time,” in 2011 International Conference on Computer Vision , Nov 2011, pp. 2320–2327
2011
Earlier work this paper cites.
M. J. Milford and G. F. Wyeth, “SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights,” in 2012 IEEE International Conference on Robotics and Automation , May 2012, pp. 1643–1649
2012
Earlier work this paper cites.
D. Gálvez-López and J. D. Tardós, “Bags of binary words for fast place recognition in image sequences,” IEEE Transactions on Robotics , vol. 28, no. 5, pp. 1188–1197, October 2012
2012
Earlier work this paper cites.
M. Calonder, V. Lepetit, M. Ozuysal, T. Trzcinski, C. Strecha, and P. Fua, “Brief: Computing a local binary descriptor very fast,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 34, no. 7, pp. 1281–1298, July 2012
2012
Earlier work this paper cites.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1 , ser. NIPS’12. USA: Curran Associates Inc., 2012, pp. 1097–1105
2012
Earlier work this paper cites.
A. Geiger, P. Lenz, and R. Urtasun, “Are we ready for autonomous driving? the kitti vision benchmark suite,” in Conference on Computer Vision and Pattern Recognition (CVPR) , 2012
2012
Cited alongside, same era.
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. Lecun, “Overfeat: Integrated recognition, localization and detection using convolutional networks,” 12 2013
2013
Cited alongside, same era.
E. Pepperell, P. I. Corke, and M. J. Milford, “All-environment visual place recognition with smart,” in 2014 IEEE International Conference on Robotics and Automation (ICRA) , May 2014, pp. 1612–1618
2014
Cited alongside, same era.
M. Milford, W. Scheirer, E. Vig, A. Glover, O. Baumann, J. Mattingley, and D. Cox, “Condition-invariant, top-down visual place recognition,” in 2014 IEEE International Conference on Robotics and Automation (ICRA) , May 2014, pp. 5571–5577
2014
Cited alongside, same era.
S. Lowry, N. Sünderhauf, P. Newman, J. J. Leonard, D. Cox, P. Corke, and M. J. Milford, “Visual Place Recognition: A Survey,” IEEE Transactions on Robotics , vol. 32, no. 1, pp. 1–19, Feb 2016
2016
Later among the works it cites.
I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning . The MIT Press, 2016
2016
Later among the works it cites.
H. Zhang, F. Han, and H. Wang, “Robust multimodal sequence-based loop closure detection via structured sparsity,” in Proc. of Robotics: Science and Systems , AnnArbor, Michigan, June 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
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2014
Cited alongside, same era.
A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson, “Cnn features off-the-shelf: An astounding baseline for recognition,” in Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops , ser. CVPRW ’14. Washington, DC, USA: IEEE Computer Society, 2014, pp. 512–519
2014
Cited alongside, same era.
J. Engel, T. Schöps, and D. Cremers, “LSD-SLAM: Large-scale direct monocular SLAM,” in Computer Vision – ECCV 2014 , D. Fleet, T. Pajdla, B. Schiele, and T. Tuytelaars, Eds. Cham: Springer International Publishing, 2014, pp. 834–849
2014
Cited alongside, same era.
Y. Latif, G. Huang, J. Leonard, and J. Neira, “An online sparsity-cognizant loop-closure algorithm for visual navigation,” in Proc. of Robotics: Science and Systems , Berkeley, CA, Jul. 12-16 2014
2014
Cited alongside, same era.
2014
Cited alongside, same era.
M. Muja and D. G. Lowe, “Scalable nearest neighbor algorithms for high dimensional data,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 36, 2014
2014
Cited alongside, same era.
C. L. Zitnick and P. Dollár, “Edge boxes: Locating object proposals from edges,” in ECCV , 2014
2014
Cited alongside, same era.
M. M. Cheng, Z. Zhang, W. Y. Lin, and P. Torr, “Bing: Binarized normed gradients for objectness estimation at 300fps,” in 2014 IEEE Conference on Computer Vision and Pattern Recognition , June 2014, pp. 3286–3293
2014
Cited alongside, same era.
2017
Later among the works it cites.
Y. Hou, H. Zhang, and S. Zhou, “Bocnf: efficient image matching with bag of convnet features for scalable and robust visual place recognition,” Autonomous Robots , Nov 2017
2017
Later among the works it cites.
R. Arandjelović, P. Gronat, A. Torii, T. Pajdla, and J. Sivic, “Netvlad: Cnn architecture for weakly supervised place recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. PP, no. 99, pp. 1–1, 2017
2017
Later among the works it cites.
M. Lopez-Antequera, R. Gomez-Ojeda, N. Petkov, and J. Gonzalez-Jimenez, “Appearance-invariant place recognition by discriminatively training a convolutional neural network,” Pattern Recognition Letters , vol. 92, no. Supplement C, pp. 89 – 95, 2017
2017
Later among the works it cites.
Z. Chen, A. Jacobson, N. Sünderhauf, B. Upcroft, L. Liu, C. Shen, I. Reid, and M. Milford, “Deep learning features at scale for visual place recognition,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) , May 2017, pp. 3223–3230
2017
Later among the works it cites.
X. Gao and T. Zhang, “Unsupervised learning to detect loops using deep neural networks for visual SLAM system,” Autonomous Robots , vol. 41, no. 1, pp. 1–18, Jan. 2017
2017
Later among the works it cites.
Y. Latif, G. Huang, J. Leonard, and J. Neira, “Sparse optimization for robust and efficient loop closing,” Robotics and Autonomous Systems , vol. 93, pp. 13–26, Jul. 2017
2017
Later among the works it cites.
Mur-Artal, Raúl, Tardós, and J. D., “ORB-SLAM2: an open-source SLAM system for monocular, stereo and RGB-D cameras,” IEEE Transactions on Robotics , vol. 33, no. 5, pp. 1255–1262, 2017
2017
Later among the works it cites.
C. Kenshimov, L. Bampis, B. Amirgaliyev, M. Arslanov, and A. Gasteratos, “Deep learning features exception for cross-season visual place recognition,” Pattern Recognition Letters , vol. 100, pp. 124 – 130, 2017
2017
Later among the works it cites.
D. Bai, C. Wang, B. Zhang, X. Yi, and X. Yang, “Sequence searching with cnn features for robust and fast visual place recognition,” Computers and Graphics , vol. 70, pp. 270 – 280, 2018, cAD/Graphics 2017
2017
Later among the works it cites.
B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba, “Places: A 10 million image database for scene recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence , 2017
2017
Later among the works it cites.
J. Engel, V. Koltun, and D. Cremers, “Direct sparse odometry,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. PP, no. 99, pp. 1–1, 2017
2017
Later among the works it cites.