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Perceiving and understanding highly dynamic and changing environments is a crucial capability for robot autonomy.
Probabilistic data association for semantic slam
S.L. Bowman, N. Atanasov, K. Daniilidis, and G.J. Pappas · 2017
Earlier work this paper cites.
Co-fusion: Real-time segmentation, tracking and fusion of multiple objects
M. Rünz and L. Agapito · 2017
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Dynaslam: Tracking, mapping, and inpainting in dynamic scenes
B. Bescos, J. Fácil, J. Civera, and J. Neira · 2018
Earlier work this paper cites.
Semantic monocular SLAM for highly dynamic environments
N. Brasch, A. Bozic, J. Lallemand, and F. Tombari · 2018
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Submap-based pose-graph visual slam: A robust visual exploration and localization system
W. Chen, L. Zhu, Y. Guan, C.R. Kube, and H. Zhang · 2018
Earlier work this paper cites.
Fusion++: Volumetric object-level SLAM
J. McCormac, R. Clark, M. Bloesch, A.J. Davison, and S. Leutenegger · 2018
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DS-SLAM: A semantic visual slam towards dynamic environments
C. Yu, Z. Liu, X.-J. Liu, F. Xie, Y. Yang, Q. Wei, and Q. Fei · 2018
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Detection and tracking of general movable objects in large three-dimensional maps
N. Bore, J. Ekekrantz, P. Jensfelt, and J. Folkesson · 2019
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Suma++: Efficient lidar-based semantic slam
X. Chen, A. Milioto, E. Palazzolo, P. Giguere, J. Behley, and C. Stachniss · 2019
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SOF-SLAM: A semantic visual SLAM for dynamic environments
L. Cui and C. Ma · 2019
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Detectfusion: Detecting and segmenting both known and unknown dynamic objects in real-time slam
R. Hachiuma, C. Pirchheim, D. Schmalstieg, and H. Saito · 2019
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EM-Fusion: Dynamic object-level slam with probabilistic data association
M. Strecke and J. Stueckler · 2019
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MID-Fusion: Octree-based object-level multi-instance dynamic SLAM
B. Xu, W. Li, D. Tzoumanikas, M. Bloesch, A.J. Davison, and S. Leutenegger · 2019
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DynaSLAM II: Tightly-coupled multi-object tracking and slam
B. Bescós, C. Campos, J.D. Tardós, and J. Neira · 2020
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Dynamic slam: The need for speed
M. Henein, J. Zhang, R. Mahony, and V. Ila · 2020
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Robust and efficient object change detection by combining global semantic information and local geometric verification
E. Langer, T. Patten, and M. Vincze · 2020
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Kimera: an open-source library for real-time metric-semantic localization and mapping
A. Rosinol, M. Abate, Y. Chang, and L. Carlone · 2020
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Graduated non-convexity for robust spatial perception: From non-minimal solvers to global outlier rejection
H. Yang, P. Antonante, V. Tzoumas, and L. Carlone · 2020
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Multimotion visual odometry (mvo)
K.M. Judd and J.D. Gammell · 2021
Cited alongside, same era.
Rigidfusion: Robot localisation and mapping in environments with large dynamic rigid objects
R. Long, C. Rauch, T. Zhang, V. Ivan, and S. Vijayakumar · 2021
Cited alongside, same era.
Changesim: Towards end-to-end online scene change detection in industrial indoor environments
J.-M. Park, J.-H. Jang, S.-M. Yoo, S.-K. Lee, U.-H. Kim, and J.-H. Kim · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
A. Radford, J.W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, G. Krueger, and I. Sutskever · 2021
Cited alongside, same era.
Kimera: from SLAM to spatial perception with 3D dynamic scene graphs
A. Rosinol, A. Violette, M. Abate, N. Hughes, Y. Chang, J. Shi, A. Gupta, and L. Carlone · 2021
Cited alongside, same era.
OneFormer: One Transformer to Rule Universal Image Segmentation
J. Jain, J. Li, M. Chiu, A. Hassani, N. Orlov, and H. Shi · 2023
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3d gaussian splatting for real-time radiance field rendering
B. Kerbl, G. Kopanas, T. Leimkühler, and G. Drettakis · 2023
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Segment anything
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A.C. Berg, W. Lo, P. Dollár, and R.B. Girshick · 2023
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3DS-SLAM: A 3d object detection based semantic slam towards dynamic indoor environments
G.S. Krishna, K. Supriya, and S. Baidya · 2023
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3d vsg: Long-term semantic scene change prediction through 3d variable scene graphs
S. Looper, J. Rodriguez-Puigvert, R. Siegwart, C. Cadena, and L. Schmid · 2023
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Fusing semantic segmentation and object detection for visual slam in dynamic scenes
P. Yu, C. Guo, Y. Liu, and H. Zhang · 2021
Cited alongside, same era.
A slam map restoration algorithm based on submaps and an undirected connected graph
Z. Zhan, W. Jian, Y. Li, and Y. Yue · 2021
Cited alongside, same era.
borglab/gtsam, May 2022
F. Dellaert and GTSAM Contributors · 2022
Cited alongside, same era.
Bodyslam: Joint camera localisation, mapping, and human motion tracking
D.F. Henning, T. Laidlow, and S. Leutenegger · 2022
Cited alongside, same era.
Voxel field fusion for 3d object detection
Y. Li, X. Qi, Y. Chen, L. Wang, Z. Li, J. Sun, and J. Jia · 2022
Cited alongside, same era.
Loc-NeRF: Monte carlo localization using neural radiance fields
D. Maggio, M. Abate, J. Shi, C. Mario, and L. Carlone · 2022
Cited alongside, same era.
Probabilistic data association for semantic slam at scale
E. Michael, T. Summers, T.A. Wood, C. Manzie, and I. Shames · 2022
Cited alongside, same era.
H. Matsuki, R. Murai, P.H.J. Kelly, and A.J. Davison · 2023
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Building volumetric beliefs for dynamic environments exploiting map-based moving object segmentation
B. Mersch, T. Guadagnino, X. Chen, I. Vizzo, J. Behley, and C. Stachniss · 2023
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The importance of coordinate frames in dynamic slam
J. Morris, Y. Wang, and V. Ila · 2023
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Pov-slam: Probabilistic object-aware variational slam in semi-static environments
J. Qian, V. Chatrath, J. Servos, A. Mavrinac, W. Burgard, S.L. Waslander, and A.P. Schoellig · 2023
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NeRF-SLAM: Real-time dense monocular SLAM with neural radiance fields
A. Rosinol, J.J. Leonard, and L. Carlone · 2023
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Dynablox: Real-time detection of diverse dynamic objects in complex environments
L. Schmid, O. Andersson, A. Sulser, P. Pfreundschuh, and R. Siegwart · 2023
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Visual localization and mapping in dynamic and changing environments
J.C.V. Soares, V. S. Medeiros, G. Fischer Abti, M. Becker, G. Caurin, M. Gattass, and M.A. Meggiolaro · 2023
Later among the works it cites.
Voxelnextfusion: A simple, unified and effective voxel fusion framework for multi-modal 3d object detection
Z. Song, G. Zhang, J. Xie, L. Liu, C. Jia, S. Xu, and Z. Wang · 2023
Later among the works it cites.
Nothing stands still: A spatiotemporal benchmark on 3d point cloud registration under large geometric and temporal change
T. Sun, Y. Hao, S. Huang, S. Savarese, K. Schindler, M. Pollefeys, and I. Armeni · 2023
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Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning
Q. Gu, A. Kuwajerwala, S. Morin, K.M. Jatavallabhula, B. Sen, A. Agarwal, C. Rivera, W. Paul, K. Ellis, R. Chellappa, C. Gan, C.M. de Melo, J.B. Tenenbaum, A. Torralba, F. Shkurti, and L. Paull · 2024
Closest in time.
Foundations of spatial perception for robotics: Hierarchical representations and real-time systems
N. Hughes, Y. Chang, S. Hu, R. Talak, R. Abdulhai, J. Strader, and L. Carlone · 2024
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GS-SLAM: Dense visual slam with 3d gaussian splatting, 2024
C. Yan, D. Qu, D. Wang, D. Xu, Z. Wang, B. Zhao, and X. Li · 2024
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Living scenes: Multi-object relocalization and reconstruction in changing 3d environments
L. Zhu, S. Huang, K. Schindler, and I. Armeni · 2024
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