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Place recognition is the fundamental module that can assist Simultaneous Localization and Mapping (SLAM) in loop-closure detection and re-localization for long-term navigation.
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K. Vidanapathirana, M. Ramezani, P. Moghadam, S. Sridharan, and C. Fookes, “Logg3d-net: Locally guided global descriptor learning for 3d place recognition,” in 2022 International Conference on Robotics and Automation (ICRA) , 2022, pp. 2215–2221
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K. Cait, B. Wang, and C. X. Lu, “Autoplace: Robust place recognition with single-chip automotive radar,” in 2022 International Conference on Robotics and Automation (ICRA) , 2022, pp. 2222–2228
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H. Yin, R. Chen, Y. Wang, and R. Xiong, “Rall: End-to-end radar localization on lidar map using differentiable measurement model,” IEEE Transactions on Intelligent Transportation Systems , vol. 23, no. 7, pp. 6737–6750, 2022
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Z. Hong, Y. Petillot, A. Wallace, and S. Wang, “Radarslam: A robust simultaneous localization and mapping system for all weather conditions,” The International Journal of Robotics Research , vol. 41, no. 5, pp. 519–542, 2022
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X. Yu, B. Zhou, Z. Chang, K. Qian, and F. Fang, “Mmdf: Multi-modal deep feature based place recognition of mobile robots with applications on cross-scene navigation,” IEEE Robotics and Automation Letters , vol. 7, no. 3, pp. 6742–6749, 2022
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S. An, H. Zhu, D. Wei, K. A. Tsintotas, and A. Gasteratos, “Fast and incremental loop closure detection with deep features and proximity graphs,” Journal of Field Robotics , vol. 39, no. 4, pp. 473–493, 2022
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S. Zhao, P. Yin, G. Yi, and S. Scherer, “Spherevlad++: Attention-based and signal-enhanced viewpoint invariant descriptor,” 2022
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V. Paolicelli, A. Tavera, C. Masone, G. Berton, and B. Caputo, “Learning semantics for visual place recognition through multi-scale attention,” in Image Analysis and Processing – ICIAP 2022 , S. Sclaroff, C. Distante, M. Leo, G. M. Farinella, and F. Tombari, Eds. Cham: Springer International Publishing, 2022, pp. 454–466
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Y. Tian, Y. Chang, F. H. Arias, C. Nieto-Granda, J. P. How, and L. Carlone, “Kimera-multi: Robust, distributed, dense metric-semantic slam for multi-robot systems,” IEEE Transactions on Robotics , pp. 1–17, 2022
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2022
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L. Ding, R. Zhou, Y. Yuan, H. Yang, J. Li, T. Yu, C. Liu, J. Wang, S. Li, H. Gao, Z. Deng, N. Li, Z. Wang, Z. Gong, G. Liu, J. Xie, S. Wang, Z. Rong, D. Deng, X. Wang, S. Han, W. Wan, L. Richter, L. Huang, S. Gou, Z. Liu, H. Yu, Y. Jia, B. Chen, Z. Dang, K. Zhang, L. Li, X. He, S. Liu, and K. Di, “A 2-year locomotive exploration and scientific investigation of the lunar farside by the yutu-2 rover,” Science Robotics , vol. 7, no. 62, p. eabj6660, 2022
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M. De Lange, R. Aljundi, M. Masana, S. Parisot, X. Jia, A. Leonardis, G. Slabaugh, and T. Tuytelaars, “A continual learning survey: Defying forgetting in classification tasks,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 44, no. 7, pp. 3366–3385, 2022
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Y. Liu, W. Gao, and Z. Hu, “A large-scale dataset for indoor visual localization with high-precision ground truth,” The International Journal of Robotics Research , vol. 41, no. 2, pp. 129–135, 2022
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P. Yin, S. Zhao, R. Ge, I. Cisneros, R. Fu, J. Zhang, H. Choset, and S. Scherer, “Alita: A large-scale incremental dataset for long-term autonomy,” 2022
2022
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G. Kim and A. Kim, “Lt-mapper: A modular framework for lidar-based lifelong mapping,” in 2022 International Conference on Robotics and Automation (ICRA) , 2022, pp. 7995–8002
2022
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M. Humenberger, Y. Cabon, N. Pion, P. Weinzaepfel, D. Lee, N. Guérin, T. Sattler, and G. Csurka, “Investigating the role of image retrieval for visual localization: An exhaustive benchmark,” Int. J. Comput. Vision , vol. 130, no. 7, p. 1811–1836, jul 2022
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K. MacTavish, M. Paton, and T. D. Barfoot, “Visual triage: A bag-of-words experience selector for long-term visual route following,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) , 2017, pp. 2065–2072
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