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Most Simultaneous localisation and mapping (SLAM) systems have traditionally assumed a static world, which does not align with real-world scenarios.
M. A. Fischler and R. C. Bolles, “Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,” Communications of the ACM , vol. 24, no. 6, pp. 381–395, 1981
1981
Earlier work this paper cites.
G. S. Chirikjian, Stochastic Models, Information Theory, and Lie Groups: Classical Results and Geometic Methods . Birkhäuser, 1994
1994
Earlier work this paper cites.
C.-C. Wang, C. Thorpe, S. Thrun, M. Hebert, and H. Durrant-Whyte, “Simultaneous localization, mapping and moving object tracking,” Intl. J. of Robotics Research , vol. 26, no. 9, pp. 889–916, 2007
2007
Earlier work this paper cites.
H. Zhao, M. Chiba, R. Shibasaki, X. Shao, J. Cui, and H. Zha, “SLAM in a dynamic large outdoor environment using a laser scanner,” in Proc. of the IEEE Intl. Conf. on Robotics and Automation (ICRA) , 2008, pp. 1455–1462
2008
Earlier work this paper cites.
R. A. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohi, J. Shotton, S. Hodges, and A. Fitzgibbon, “Kinectfusion: Real-time dense surface mapping and tracking,” in IEEE/ACM Intl. Sym. on Mixed and Augmented Reality (ISMAR) , 2011, pp. 127–136
2011
Earlier work this paper cites.
R. Kümmerle, G. Grisetti, H. Strasdat, K. Konolige, and W. Burgard, “g2o: A general framework for graph optimization,” in Proc. of the IEEE Intl. Conf. on Robotics and Automation (ICRA) . IEEE, 2011, pp. 3607–3613
2011
Earlier work this paper cites.
A. Geiger, P. Lenz, and R. Urtasun, “Are we ready for autonomous driving? the KITTI vision benchmark suite,” in Proc. of the IEEE Intl. Conf. Computer Vision and Pattern Recognition , 2012
2012
Earlier work this paper cites.
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers, “A benchmark for the evaluation of rgb-d slam systems,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS) . IEEE, 2012, pp. 573–580
2012
Earlier work this paper cites.
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun, “Vision meets robotics: The KITTI dataset,” Intl. J. of Robotics Research , vol. 32, no. 11, pp. 1231–1237, 2013
2013
Earlier work this paper cites.
A. Hermann, J. Bauer, S. Klemm, and R. Dillmann, “Mobile manipulation planning optimized for gpgpu voxel-collision detection in high resolution live 3d-maps,” in Intl. Symp. on Robotics/Robotik , 2014, pp. 1–8
2014
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 Trans. Robotics , vol. 33, no. 5, pp. 1255–1262, 2017
2017
Cited alongside, same era.
G. S. Chirikjian, R. Mahony, S. Ruan, and J. Trumpf, “Pose changes from a different point of view,” in Proc. of the ASME Intl. Design Engineering Technical Conf. (IDETC) . ASME, 2017
2017
Cited alongside, same era.
B. Bescos, J. M. Fácil, J. Civera, and J. Neira, “Dynaslam: Tracking, mapping, and inpainting in dynamic scenes,” IEEE Robotics and Automation Letters , vol. 3, no. 4, pp. 4076–4083, 2018
2018
Cited alongside, same era.
K. M. Judd, J. D. Gammell, and P. Newman, “Multimotion visual odometry (MVO): Simultaneous estimation of camera and third-party motions,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS) . IEEE, 2018, pp. 3949–3956
2018
Cited alongside, same era.
——, “Robust Ego and Object 6-DoF Motion Estimation and Tracking,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS) , 2020, pp. 5017–5023
2020
Later among the works it cites.
T. Zhang, H. Zhang, Y. Li, Y. Nakamura, and L. Zhang, “Flowfusion: Dynamic dense rgb-d slam based on optical flow,” in Proc. of the IEEE Intl. Conf. on Robotics and Automation (ICRA) . IEEE, 2020, pp. 7322–7328
2020
Later among the works it cites.
J. Huang, S. Yang, T.-J. Mu, and S.-M. Hu, “Clustervo: Clustering moving instances and estimating visual odometry for self and surroundings,” in Proc. of the IEEE/CVF Intl. Conf. Computer Vision and Pattern Recognition , 2020, pp. 2168–2177
2020
Later among the works it cites.
D. M. Rosen, K. J. Doherty, A. Terán Espinoza, and J. J. Leonard, “Advances in inference and representation for simultaneous localization and mapping,” Annual Review of Control, Robotics, and Autonomous Systems , vol. 4, no. 1, pp. 215–242, 2021
2021
Later among the works it cites.
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2019
Cited alongside, same era.
J. Huang, S. Yang, Z. Zhao, Y. Lai, and S. Hu, “Clusterslam: A slam backend for simultaneous rigid body clustering and motion estimation,” in Proc. of the Intl. Conf. on Computer Vision (ICCV) , 2019, pp. 5874–5883
2019
Cited alongside, same era.
K. M. Judd and J. D. Gammell, “The Oxford Multimotion Dataset: Multiple SE(3) Motions with Ground Truth,” IEEE Robotics and Automation Letters , vol. 4, no. 2, pp. 800–807, 2019
2019
Cited alongside, same era.
M. Henein, J. Zhang, R. Mahony, and V. Ila, “Dynamic SLAM: The Need for Speed,” in Proc. of the IEEE Intl. Conf. on Robotics and Automation (ICRA) , 2020, pp. 2123–2129
2020
Cited alongside, same era.
K. M. Judd and J. D. Gammell, “Occlusion-robust mvo: Multimotion estimation through occlusion via motion closure,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS) , 2020, pp. 5855–5862
2020
Cited alongside, same era.
2020
Cited alongside, same era.
C. Campos, R. Elvira, J. J. Gómez, J. M. M. Montiel, and J. D. Tardós, “ORB-SLAM3: An accurate open-source library for visual, visual-inertial and multi-map SLAM,” IEEE Trans. Robotics , vol. 37, no. 6, pp. 1874–1890, 2021
2021
Later among the works it cites.
M. N. Finean, W. Merkt, and I. Havoutis, “Simultaneous scene reconstruction and whole-body motion planning for safe operation in dynamic environments,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS) , 2021, pp. 3710–3717
2021
Later among the works it cites.
2021
Later among the works it cites.
B. Bescos, C. Campos, J. D. Tardós, and J. Neira, “Dynaslam ii: Tightly-coupled multi-object tracking and slam,” IEEE Robotics and Automation Letters , vol. 6, no. 3, pp. 5191–5198, 2021
2021
Later among the works it cites.
I. Ballester, A. Fontán, J. Civera, K. H. Strobl, and R. Triebel, “Dot: Dynamic object tracking for visual slam,” in Proc. of the IEEE Intl. Conf. on Robotics and Automation (ICRA) , 2021, pp. 11 705–11 711
2021
Later among the works it cites.
F. Dellaert and GTSAM Contributors, “borglab/gtsam,” May 2022. [Online]. Available: https://github.com/borglab/gtsam
2022
Later among the works it cites.