Fetching the paper…
Reading the bibliography…
Autonomous navigation emerges from both motion and local visual perception in real-world environments.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural Computation , vol. 9, pp. 1735–1780, 1997
1997
Earlier work this paper cites.
M. W. M. G. Dissanayake, P. Newman, S. Clark, H. F. Durrant-Whyte, and M. Csorba, “A solution to the simultaneous localization and map building (SLAM) problem,” IEEE Transactions on Robotics and Automation , vol. 17, no. 3, pp. 229–241, June 2001
2001
Earlier work this paper cites.
2003
Earlier work this paper cites.
D. Nistér, O. Naroditsky, and J. Bergen, “Visual odometry,” in Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) , vol. 1, June 2004
2004
Earlier work this paper cites.
M. J. Milford, G. F. Wyeth, and D. Prasser, “Ratslam: a hippocampal model for simultaneous localization and mapping,” in IEEE International Conference on Robotics and Automation (ICRA) , vol. 1, April 2004, pp. 403–408
2004
Earlier work this paper cites.
D. Nistér, O. Naroditsky, and J. Bergen, “Visual odometry for ground vehicle applications,” Journal of Field Robotics , vol. 23, no. 1, pp. 3–20, 2006
2006
Earlier work this paper cites.
N. L. Doh, H. Choset, and W. K. Chung, “Relative localization using path odometry information,” Autonomous Robots , vol. 21, no. 2, pp. 143–154, 2006
2006
Earlier work this paper cites.
A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse, “MonoSLAM: Real-Time Single Camera SLAM,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 29, no. 6, pp. 1052–1067, June 2007
2007
Earlier work this paper cites.
M. J. Milford and G. F. Wyeth, “Mapping a suburb with a single camera using a biologically inspired slam system,” IEEE Transactions on Robotics , vol. 24, no. 5, pp. 1038–1053, Oct 2008
2008
Earlier work this paper cites.
Y. Bengio, J. Louradour, R. Collobert, and J. Weston, “Curriculum learning,” in Proceedings of the 26th Annual International Conference on Machine Learning , 2009, pp. 41–48
2009
Earlier work this paper cites.
J. Biswas and M. Veloso, “Wifi localization and navigation for autonomous indoor mobile robots,” in 2010 IEEE International Conference on Robotics and Automation , May 2010, pp. 4379–4384
2010
Earlier work this paper cites.
A. J. Glover, W. P. Maddern, M. J. Milford, and G. F. Wyeth, “FAB-MAP + RatSLAM: Appearance-based SLAM for multiple times of day,” in 2010 IEEE International Conference on Robotics and Automation , May 2010, pp. 3507–3512
2010
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 (ICRA) , May 2012, pp. 1643–1649
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 2012 IEEE Conference on Computer Vision and Pattern Recognition , June 2012, pp. 3354–3361
2012
Earlier work this paper cites.
N. Sünderhauf, P. Neubert, and P. Protzel, “Are we there yet? challenging seqslam on a 3000 km journey across all four seasons,” in Proc. Workshop Long-Term Autonomy 2013 IEEE Int. Conf. Robot. Autom. (ICRA) , 2013
2013
Earlier work this paper cites.
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun, “Vision meets robotics: The KITTI dataset,” The International Journal of Robotics Research , vol. 32, no. 11, pp. 1231–1237, 2013
2013
Earlier work this paper cites.
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) , 2014, pp. 1612–1618
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
X. Guo, S. Singh, H. Lee, R. L. Lewis, and X. Wang, “Deep learning for real-time atari game play using offline monte-carlo tree search planning,” in Advances in Neural Information Processing Systems . Curran Associates, Inc., 2014, pp. 3338–3346
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
R. Mur-Artal, J. M. M. Montiel, and J. D. Tardós, “ORB-SLAM: A Versatile and Accurate Monocular SLAM System,” IEEE Transactions on Robotics , vol. 31, no. 5, pp. 1147–1163, Oct 2015
2015
Earlier work this paper cites.
J. Zhang and S. Singh, “Visual-lidar odometry and mapping: low-drift, robust, and fast,” in 2015 IEEE International Conference on Robotics and Automation (ICRA) , May 2015, pp. 2174–2181
2015
Earlier work this paper cites.
A. Torii, R. Arandjelovic, J. Sivic, M. Okutomi, and T. Pajdla, “24/7 place recognition by view synthesis,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2015
2015
Earlier work this paper cites.
N. Sünderhauf et al
2015
Earlier work this paper cites.
N. Sünderhauf et al
2015
Earlier work this paper cites.
V. Mnih et al
2015
Earlier work this paper cites.
R. Arandjelović, P. Gronát, A. Torii, T. Pajdla, and J. Sivic, “NetVLAD: CNN Architecture for Weakly Supervised Place Recognition,” 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 5297–5307, 2016
2016
Earlier work this paper cites.
C. Cadena, L. Carlone, H. Carrillo, Y. Latif, D. Scaramuzza, J. Neira, I. Reid, and J. J. Leonard, “Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,” IEEE Transactions on Robotics , vol. 32, no. 6, pp. 1309–1332, Dec 2016
2016
Earlier work this paper cites.
R. Miyagusuku, A. Yamashita, and H. Asama, “Improving gaussian processes based mapping of wireless signals using path loss models,” in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Oct 2016, pp. 4610–4615
2016
Earlier work this paper cites.
T. Weyand, I. Kostrikov, and J. Philbin, “Planet-photo geolocation with convolutional neural networks,” in European Conference on Computer Vision . Springer, 2016, pp. 37–55
2016
Earlier work this paper cites.
S. Lowry et al
2016
Cited alongside, same era.
2016
Cited alongside, same era.
W. Maddern, G. Pascoe, C. Linegar, and P. Newman, “1 year, 1000 km: The oxford robotcar dataset,” The International Journal of Robotics Research , vol. 36, no. 1, pp. 3–15, 2017
2017
Cited alongside, same era.
R. Miyagusuku, Y. Seow, A. Yamashita, and H. Asama, “Fast and robust localization using laser rangefinder and wifi data,” in 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) , Nov 2017, pp. 111–117
2017
Cited alongside, same era.
R. Mur-Artal and J. D. Tardós, “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, Oct 2017
2018
Later among the works it cites.
G. Kahn, A. Villaflor, B. Ding, P. Abbeel, and S. Levine, “Self-supervised deep reinforcement learning with generalized computation graphs for robot navigation,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) , May 2018, pp. 5129–5136
2018
Later among the works it cites.
A. Banino et al
2018
Later among the works it cites.
2018
Later among the works it cites.
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
R. Mur-Artal and J. D. Tardós, “Visual-Inertial Monocular SLAM With Map Reuse,” IEEE Robotics and Automation Letters , vol. 2, no. 2, pp. 796–803, April 2017
2017
Cited alongside, same era.
G. Pascoe, W. Maddern, M. Tanner, P. Piniés, and P. Newman, “Nid-slam: Robust monocular slam using normalised information distance,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2017, pp. 1435–1444
2017
Cited alongside, same era.
C. Forster, Z. Zhang, M. Gassner, M. Werlberger, and D. Scaramuzza, “SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems,” IEEE Transactions on Robotics , vol. 33, no. 2, pp. 249–265, April 2017
2017
Cited alongside, same era.
E. Hong and J. Lim, “Visual inertial odometry using coupled nonlinear optimization,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Sep. 2017, pp. 6879–6885
2017
Cited alongside, same era.
S. Pillai and J. J. Leonard, “Towards visual ego-motion learning in robots,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Sep. 2017, pp. 5533–5540
2017
Cited alongside, same era.
T. Zhou, M. Brown, N. Snavely, and D. G. Lowe, “Unsupervised learning of depth and ego-motion from video,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , July 2017
2017
Cited alongside, same era.
H. J. Kim, E. Dunn, and J. Frahm, “Learned contextual feature reweighting for image geo-localization,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , July 2017, pp. 3251–3260
2017
Cited alongside, same era.
2019
Later among the works it cites.
H. Chen, A. Suhr, D. Misra, N. Snavely, and Y. Artzi, “Touchdown: Natural language navigation and spatial reasoning in visual street environments,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2019
2019
Later among the works it cites.
S. A. S. Mohamed, M. Haghbayan, T. Westerlund, J. Heikkonen, H. Tenhunen, and J. Plosila, “A survey on odometry for autonomous navigation systems,” IEEE Access , vol. 7, pp. 97 466–97 486, 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
R. Miyagusuku, A. Yamashita, and H. Asama, “Data Information Fusion From Multiple Access Points for WiFi-Based Self-localization,” IEEE Robotics and Automation Letters , vol. 4, no. 2, pp. 269–276, April 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
Z. Wang, J. Zhang, S. Chen, C. Yuan, J. Zhang, and J. Zhang, “Robust high accuracy visual-inertial-laser slam system,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Nov 2019, pp. 6636–6641
2019
Later among the works it cites.
V. Casser, S. Pirk, R. Mahjourian, and A. Angelova, “Unsupervised monocular depth and ego-motion learning with structure and semantics,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2019
2019
Later among the works it cites.
X. Wang et al
2019
Later among the works it cites.
S. Y. Loo, A. J. Amiri, S. Mashohor, S. H. Tang, and H. Zhang, “Cnn-svo: Improving the mapping in semi-direct visual odometry using single-image depth prediction,” in 2019 International Conference on Robotics and Automation (ICRA) , May 2019, pp. 5218–5223
2019
Later among the works it cites.
T. Shen, Z. Luo, L. Zhou, H. Deng, R. Zhang, T. Fang, and L. Quan, “Beyond photometric loss for self-supervised ego-motion estimation,” in 2019 International Conference on Robotics and Automation (ICRA) , May 2019, pp. 6359–6365
2019
Later among the works it cites.
T. Shen, L. Zhou, Z. Luo, Y. Yao, S. Li, J. Zhang, T. Fang, and L. Quan, “Self-supervised learning of depth and motion under photometric inconsistency,” in The IEEE International Conference on Computer Vision (ICCV) Workshops , Oct 2019
2019
Later among the works it cites.
F. Radenović, G. Tolias, and O. Chum, “Fine-tuning cnn image retrieval with no human annotation,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 41, no. 7, pp. 1655–1668, July 2019
2019
Later among the works it cites.
S. Hausler, A. Jacobson, and M. Milford, “Multi-process fusion: Visual place recognition using multiple image processing methods,” IEEE Robotics and Automation Letters , vol. 4, no. 2, pp. 1924–1931, 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
C. Oh and A. Cavallaro, “Learning action representations for self-supervised visual exploration,” in 2019 International Conference on Robotics and Automation (ICRA) , May 2019, pp. 5873–5879
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
2020
Closest in time.
2020
Closest in time.
M. Chancán, L. Hernandez-Nunez, A. Narendra, A. B. Barron, and M. Milford, “A hybrid compact neural architecture for visual place recognition,” IEEE Robotics and Automation Letters , vol. 5, no. 2, pp. 993–1000, April 2020
2020
Closest in time.
2020
Closest in time.
D. S. Chaplot, D. Gandhi, S. Gupta, A. Gupta, and R. Salakhutdinov, “Learning to explore using active neural slam,” in International Conference on Learning Representations , 2020
2020
Closest in time.
S. Wang, R. Clark, H. Wen, and N. Trigoni, “Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) , May 2017, pp. 2043–2050
2050
Closest in time.