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Mapping is crucial for spatial reasoning, planning and robot navigation.
S. Hutchinson, G. D. Hager, and P. I. Corke, “A tutorial on visual servo control,” IEEE transactions on robotics and automation , vol. 12, no. 5, pp. 651–670, 1996
1996
Earlier work this paper cites.
Y. Mezouar and F. Chaumette, “Path planning for robust image-based control,” IEEE transactions on robotics and automation , vol. 18, no. 4, pp. 534–549, 2002
2002
Earlier work this paper cites.
G. Blanc, Y. Mezouar, and P. Martinet, “Indoor navigation of a wheeled mobile robot along visual routes,” in Proceedings of the 2005 IEEE international conference on robotics and automation . IEEE, 2005, pp. 3354–3359
2005
Earlier work this paper cites.
A. Remazeilles, F. Chaumette, and P. Gros, “3d navigation based on a visual memory,” in Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. IEEE, 2006, pp. 2719–2725
2006
Earlier work this paper cites.
G. Klein and D. Murray, “Parallel tracking and mapping for small ar workspaces,” in 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality , 2007, pp. 225–234
2007
Earlier work this paper cites.
S. Šegvić, A. Remazeilles, A. Diosi, and F. Chaumette, “A mapping and localization framework for scalable appearance-based navigation,” Computer Vision and Image Understanding , vol. 113, no. 2, pp. 172–187, 2009
2009
Earlier work this paper cites.
A. M. Zhang and L. Kleeman, “Robust appearance based visual route following for navigation in large-scale outdoor environments,” The International Journal of Robotics Research , vol. 28, no. 3, pp. 331–356, 2009
2009
Earlier work this paper cites.
M. J. Cummins and P. M. Newman, “Fab-map: Appearance-based place recognition and mapping using a learned visual vocabulary model,” in Proceedings of the 27th International Conference on Machine Learning (ICML-10) , 2010, pp. 3–10
2010
Earlier work this paper cites.
P. Furgale and T. D. Barfoot, “Visual teach and repeat for long-range rover autonomy,” Journal of field robotics , vol. 27, no. 5, pp. 534–560, 2010
2010
Earlier work this paper cites.
E. Johns and G.-Z. Yang, “Global localization in a dense continuous topological map,” in 2011 IEEE International Conference on Robotics and Automation . IEEE, 2011, pp. 1032–1037
2011
Earlier work this paper cites.
A. Cherubini, F. Chaumette, and G. Oriolo, “Visual servoing for path reaching with nonholonomic robots,” Robotica , vol. 29, no. 7, pp. 1037–1048, 2011
2011
Earlier work this paper cites.
A. Diosi, S. Segvic, A. Remazeilles, and F. Chaumette, “Experimental evaluation of autonomous driving based on visual memory and image-based visual servoing,” IEEE Transactions on Intelligent Transportation Systems , vol. 12, no. 3, pp. 870–883, 2011
2011
Earlier work this paper cites.
R. F. Salas-Moreno, R. A. Newcombe, H. Strasdat, P. H. Kelly, and A. J. Davison, “Slam++: Simultaneous localisation and mapping at the level of objects,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2013, pp. 1352–1359
2013
Earlier work this paper cites.
J. Engel, T. Schöps, and D. Cremers, “LSD-SLAM: Large-scale direct monocular SLAM,” in European Conference on Computer Vision (ECCV) , September 2014
2014
Earlier work this paper cites.
A. Glover, “Day and night, left and right,” Mar. 2014. [Online]. Available: https://doi.org/10.5281/zenodo.4590133
2014
Earlier work this paper cites.
Y. Zhang, S. Song, P. Tan, and J. Xiao, “Panocontext: A whole-room 3d context model for panoramic scene understanding,” in Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI 13 . Springer, 2014, pp. 668–686
2014
Earlier work this paper cites.
J. L. Schonberger and J.-M. Frahm, “Structure-from-motion revisited,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 4104–4113
2016
Earlier work this paper cites.
S. R. Bista, P. R. Giordano, and F. Chaumette, “Appearance-based indoor navigation by ibvs using line segments,” IEEE robotics and automation letters , vol. 1, no. 1, pp. 423–430, 2016
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
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, 2017
2017
Earlier work this paper cites.
T. Krajník, P. Cristóforis, K. Kusumam, P. Neubert, and T. Duckett, “Image features for visual teach-and-repeat navigation in changing environments,” Robotics and Autonomous Systems , vol. 88, pp. 127–141, 2017
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
T. Krajník, F. Majer, L. Halodová, and T. Vintr, “Navigation without localisation: reliable teach and repeat based on the convergence theorem,” in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2018, pp. 1657–1664
2018
Cited alongside, same era.
F. Xia, A. R. Zamir, Z.-Y. He, A. Sax, J. Malik, and S. Savarese, “Gibson env: real-world perception for embodied agents,” in Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on . IEEE, 2018
2018
Cited alongside, same era.
K. Chen, J. P. de Vicente, G. Sepulveda, F. Xia, A. Soto, M. Vazquez, and S. Savarese, “A behavioral approach to visual navigation with graph localization networks,” in Proceedings of Robotics: Science and Systems , FreiburgimBreisgau, Germany, June 2019
2019
Cited alongside, same era.
I. Armeni, Z.-Y. He, J. Gwak, A. R. Zamir, M. Fischer, J. Malik, and S. Savarese, “3d scene graph: A structure for unified semantics, 3d space, and camera,” in Proceedings of the IEEE/CVF international conference on computer vision , 2019, pp. 5664–5673
M. Caron, H. Touvron, I. Misra, H. Jégou, J. Mairal, P. Bojanowski, and A. Joulin, “Emerging properties in self-supervised vision transformers,” in Proceedings of the IEEE/CVF international conference on computer vision , 2021, pp. 9650–9660
2021
Later among the works it cites.
S. Garg and M. Milford, “Seqnet: Learning descriptors for sequence-based hierarchical place recognition,” IEEE Robotics and Automation Letters , vol. 6, no. 3, pp. 4305–4312, 2021
2021
Later among the works it cites.
P.-E. Sarlin, M. Dusmanu, J. L. Schönberger, P. Speciale, L. Gruber, V. Larsson, O. Miksik, and M. Pollefeys, “Lamar: Benchmarking localization and mapping for augmented reality,” in European Conference on Computer Vision . Springer, 2022, pp. 686–704
2022
Later among the works it cites.
Z. Ravichandran, L. Peng, N. Hughes, J. D. Griffith, and L. Carlone, “Hierarchical representations and explicit memory: Learning effective navigation policies on 3d scene graphs using graph neural networks,” in 2022 International Conference on Robotics and Automation (ICRA) . IEEE, 2022, pp. 9272–9279
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2019
Cited alongside, same era.
U.-H. Kim, J.-M. Park, T.-J. Song, and J.-H. Kim, “3-D scene graph: A sparse and semantic representation of physical environments for intelligent agents,” IEEE transactions on cybernetics , vol. 50, no. 12, pp. 4921–4933, 2019
2019
Cited alongside, same era.
P. Gay, J. Stuart, and A. Del Bue, “Visual graphs from motion (vgfm): Scene understanding with object geometry reasoning,” in Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part III 14 . Springer, 2019, pp. 330–346
2019
Cited alongside, same era.
L. Nicholson, M. Milford, and N. Sünderhauf, “Quadricslam: Dual quadrics from object detections as landmarks in object-oriented slam,” IEEE Robotics and Automation Letters , 2019
2019
Cited alongside, same era.
T. Chen, S. Gupta, and A. Gupta, “Learning exploration policies for navigation,” in International Conference on Learning Representations , 2019. [Online]. Available: https://openreview.net/pdf?id=SyMWn05F7
2019
Cited alongside, same era.
L. Halodová, E. Dvořráková, F. Majer, T. Vintr, O. M. Mozos, F. Dayoub, and T. Krajník, “Predictive and adaptive maps for long-term visual navigation in changing environments,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2019, pp. 7033–7039
2019
Cited alongside, same era.
T. Do, L. C. Carrillo-Arce, and S. I. Roumeliotis, “High-speed autonomous quadrotor navigation through visual and inertial paths,” The International Journal of Robotics Research , vol. 38, no. 4, pp. 486–504, 2019
2019
Cited alongside, same era.
M. Savva, A. Kadian, O. Maksymets, Y. Zhao, E. Wijmans, B. Jain, J. Straub, J. Liu, V. Koltun, J. Malik, et al. , “Habitat: A platform for embodied ai research,” in Proceedings of the IEEE/CVF international conference on computer vision , 2019, pp. 9339–9347
2019
Cited alongside, same era.
D. S. Chaplot, R. Salakhutdinov, A. Gupta, and S. Gupta, “Neural topological slam for visual navigation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2020, pp. 12 875–12 884
2020
Cited alongside, same era.
2022
Later among the works it cites.
D. Shah, B. Osinski, B. Ichter, and S. Levine, “LM-nav: Robotic navigation with large pre-trained models of language, vision, and action,” in 6th Annual Conference on Robot Learning , 2022. [Online]. Available: https://openreview.net/forum?id=UW5A3SweAH
2022
Later among the works it cites.
N. Kim, O. Kwon, H. Yoo, Y. Choi, J. Park, and S. Oh, “Topological Semantic Graph Memory for Image Goal Navigation,” in CoRL , 2022
2022
Later among the works it cites.
M. Mattamala, N. Chebrolu, and M. Fallon, “An efficient locally reactive controller for safe navigation in visual teach and repeat missions,” IEEE Robotics and Automation Letters , vol. 7, no. 2, pp. 2353–2360, 2022
2022
Later among the works it cites.
H. Wang, W. Liang, L. V. Gool, and W. Wang, “Towards versatile embodied navigation,” Advances in Neural Information Processing Systems , vol. 35, pp. 36 858–36 874, 2022
2022
Later among the works it cites.
K. Jatavallabhula, A. Kuwajerwala, Q. Gu, M. Omama, T. Chen, S. Li, G. Iyer, S. Saryazdi, N. Keetha, A. Tewari, J. Tenenbaum, C. de Melo, M. Krishna, L. Paull, F. Shkurti, and A. Torralba, “Conceptfusion: Open-set multimodal 3d mapping,” in RSS , 2023
2023
Later among the works it cites.
P. Wu, A. Escontrela, D. Hafner, P. Abbeel, and K. Goldberg, “Daydreamer: World models for physical robot learning,” in Conference on Robot Learning . PMLR, 2023, pp. 2226–2240
2023
Later among the works it cites.
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo, P. Dollár, and R. Girshick, “Segment anything,” 2023
2023
Later among the works it cites.
R. Ramrakhya, D. Batra, E. Wijmans, and A. Das, “Pirlnav: Pretraining with imitation and rl finetuning for objectnav,” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2023. [Online]. Available: http://dx.doi.org/10.1109/CVPR52729.2023.01716
2023
Later among the works it cites.
J. Chen, G. Li, S. Kumar, B. Ghanem, and F. Yu, “How to not train your dragon: Training-free embodied object goal navigation with semantic frontiers,” 2023
2023
Later among the works it cites.
D. Shah, A. Sridhar, N. Dashora, K. Stachowicz, K. Black, N. Hirose, and S. Levine, “Vint: A large-scale, multi-task visual navigation backbone with cross-robot generalization,” in 7th Annual Conference on Robot Learning , 2023
2023
Later among the works it cites.
C. Huang, O. Mees, A. Zeng, and W. Burgard, “Visual language maps for robot navigation,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) , London, UK, 2023
2023
Later among the works it cites.
Q. Gu, A. Kuwajerwala, S. Morin, K. Jatavallabhula, B. Sen, A. Agarwal, C. Rivera, W. Paul, K. Ellis, R. Chellappa, C. Gan, C. de Melo, J. Tenenbaum, A. Torralba, F. Shkurti, and L. Paull, “Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning,” in arXiv , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
J. Wasserman, K. Yadav, G. Chowdhary, A. Gupta, and U. Jain, “Last-mile embodied visual navigation,” in Conference on Robot Learning . PMLR, 2023, pp. 666–678
2023
Later among the works it cites.
P. Lindenberger, P.-E. Sarlin, and M. Pollefeys, “LightGlue: Local Feature Matching at Light Speed,” in ICCV , 2023
2023
Later among the works it cites.
K. Rana, J. Haviland, S. Garg, J. Abou-Chakra, I. Reid, and N. Suenderhauf, “Sayplan: Grounding large language models using 3d scene graphs for scalable task planning,” in 7th Annual Conference on Robot Learning , 2023. [Online]. Available: https://openreview.net/forum?id=wMpOMO0Ss7a
2023
Later among the works it cites.
C. Zou, A. Colburn, Q. Shan, and D. Hoiem, “Layoutnet: Reconstructing the 3d room layout from a single rgb image,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2018, pp. 2051–2059
2059
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