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Simultaneous Localization and Mapping (SLAM) is a fundamental task to mobile and aerial robotics.
P. J. Besl and N. D. McKay, “A method for registration of 3-d shapes,” IEEE Transactions on Pattern Analysis and Machine Intelligence
1992
Earlier work this paper cites.
J. Shi and Tomasi, “Good features to track,” in 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
1994
Earlier work this paper cites.
J.-Y. Bouguet, “Pyramidal implementation of the lucas kanade feature tracker description of the algorithm,” vol. 1, 01 2000
2000
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
Earlier work this paper cites.
A. I. Mourikis and S. I. Roumeliotis, “A multi-state constraint kalman filter for vision-aided inertial navigation,” in Proceedings 2007 IEEE International Conference on Robotics and Automation
2007
Earlier work this paper cites.
V. Lepetit, F. Moreno-Noguer, and P. Fua, “Epnp: An accurate o(n) solution to the pnp problem,” Int. J. Comput. Vision
2009
Earlier work this paper cites.
E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, “Orb: An efficient alternative to sift or surf,” in 2011 International Conference on Computer Vision
2011
Earlier work this paper cites.
M. Kaess, H. Johannsson, R. Roberts, V. Ila, J. Leonard, and F. Dellaert, “isam2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering,” in 2011 IEEE International Conference on Robotics and Automation
2011
Earlier work this paper cites.
D. G’alvez-L’opez and J. D. Tard’os, “Bags of binary words for fast place recognition in image sequences,” IEEE Transactions on Robotics
2012
Earlier work this paper cites.
S. Weiss, M. W. Achtelik, S. Lynen, M. Chli, and R. Siegwart, “Real-time onboard visual-inertial state estimation and self-calibration of mavs in unknown environments,” in 2012 IEEE International Conference on Robotics and Automation
2012
Earlier work this paper cites.
J. Engel, J. Sturm, and D. Cremers, “Camera-based navigation of a low-cost quadrocopter,” in 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
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 Conference on Computer Vision and Pattern Recognition (CVPR)
2012
Earlier work this paper cites.
F. Dellaert, “Factor graphs and GTSAM: A hands-on introduction,” tech. rep., Georgia Tech, Sept. 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 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
2012
Earlier work this paper cites.
S. Lynen, M. W. Achtelik, S. Weiss, M. Chli, and R. Siegwart, “A robust and modular multi-sensor fusion approach applied to mav navigation,” in 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
2013
Earlier work this paper cites.
V. Indelman, S. Williams, M. Kaess, and F. Dellaert, “Information fusion in navigation systems via factor graph based incremental smoothing,” Robotics and Autonomous Systems
2013
Cited alongside, same era.
F. Pomerleau, F. Colas, R. Siegwart, and S. Magnenat, “Comparing ICP Variants on Real-World Data Sets,” Autonomous Robots
2013
Cited alongside, same era.
S. Leutenegger, S. Lynen, M. Bosse, R. Siegwart, and P. Furgale, “Keyframe-based visual-inertial odometry using nonlinear optimization,” vol. 34, 02 2014
2014
Cited alongside, same era.
J. Zhang and S. Singh, “Loam: Lidar odometry and mapping in real-time,” 07 2014
2014
Cited alongside, same era.
D. Droeschel, J. Stückler, and S. Behnke, “Local multi-resolution representation for 6d motion estimation and mapping with a continuously rotating 3d laser scanner,” in 2014 IEEE International Conference on Robotics and Automation (ICRA)
V. Usenko, J. Engel, J. Stückler, and D. Cremers, “Direct visual-inertial odometry with stereo cameras,” in 2016 IEEE International Conference on Robotics and Automation (ICRA)
2016
Later among the works it cites.
M. Velas, M. Spanel, and A. Herout, “Collar line segments for fast odometry estimation from velodyne point clouds,” in 2016 IEEE International Conference on Robotics and Automation (ICRA)
2016
Later among the works it cites.
M. Burri, J. Nikolic, P. Gohl, T. Schneider, J. Rehder, S. Omari, M. W. Achtelik, and R. Siegwart, “The euroc micro aerial vehicle datasets,” The International Journal of Robotics Research
2016
Later among the works it cites.
R. Dubé, D. Dugas, E. Stumm, J. Nieto, R. Siegwart, and C. Cadena, “Segmatch: Segment based place recognition in 3d point clouds,” in 2017 IEEE International Conference on Robotics and Automation (ICRA)
2017
Later among the works it cites.
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2014
Cited alongside, same era.
C. Forster, M. Pizzoli, and D. Scaramuzza, “Svo: Fast semi-direct monocular visual odometry,” in 2014 IEEE International Conference on Robotics and Automation (ICRA)
2014
Cited alongside, same era.
L. Carlone, Z. Kira, C. Beall, V. Indelman, and F. Dellaert, “Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors,” in 2014 IEEE International Conference on Robotics and Automation (ICRA)
2014
Cited alongside, same era.
M. Bloesch, S. Omari, M. Hutter, and R. Siegwart, “Robust visual inertial odometry using a direct ekf-based approach,” pp. 298–304, Sept 2015
2015
Cited alongside, same era.
K. Wu, A. Ahmed, G. A. Georgiou, and S. I. Roumeliotis, “A square root inverse filter for efficient vision-aided inertial navigation on mobile devices,” 2015
2015
Cited alongside, same era.
S. Ceriani, C. Sánchez, P. Taddei, E. Wolfart, and V. Sequeira, “Pose interpolation slam for large maps using moving 3d sensors,” in 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2015
Cited alongside, same era.
C. Wei, T. Wu, and H. Fu, “Plain-to-plain scan registration based on geometric distributions of points,” in 2015 IEEE International Conference on Information and Automation
2015
Cited alongside, same era.
C. Forster, L. Carlone, F. Dellaert, and D. Scaramuzza, “Imu preintegration on manifold for efficient visual-inertial maximum-a-posteriori estimation,” in Robotics: Science and Systems
2015
Cited alongside, same era.
M. Quan, S. Piao, M. Tan, and S.-S. Huang, “Map-based visual-inertial monocular slam using inertial assisted kalman filter,” 09 2017
2017
Later among the works it cites.
S. L. Bowman, N. Atanasov, K. Daniilidis, and G. J. Pappas, “Probabilistic data association for semantic slam,” in 2017 IEEE International Conference on Robotics and Automation (ICRA)
2017
Later among the works it cites.
“DBoW3 dbow3.” https://github.com/rmsalinas/DBoW2 , 2017
2017
Later among the works it cites.
T. Qin, P. Li, and S. Shen, “Vins-mono: A robust and versatile monocular visual-inertial state estimator,” IEEE Transactions on Robotics
2018
Later among the works it cites.
To appear
J. Hsiung, M. Hsiao, E. Westman, R. Valencia, and M. Kaess, “Information sparsification in visual-inertial odometry,” in IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS) · 2018
Later among the works it cites.
J. Engel, V. Koltun, and D. Cremers, “Direct sparse odometry,” IEEE Transactions on Pattern Analysis and Machine Intelligence
2018
Later among the works it cites.
K. Sun, K. Mohta, B. Pfrommer, M. Watterson, S. Liu, Y. Mulgaonkar, C. J. Taylor, and V. Kumar, “Robust stereo visual inertial odometry for fast autonomous flight,” IEEE Robotics and Automation Letters
2018
Later among the works it cites.
J.-E. Deschaud, “Imls-slam: scan-to-model matching based on 3d data,” CoRR
2018
Later among the works it cites.
J. A. Delmerico and D. Scaramuzza, “A benchmark comparison of monocular visual-inertial odometry algorithms for flying robots,” 2018
2018
Later among the works it cites.
J. Zhang and S. Singh, “Laser-visual-inertial odometry and mapping with high robustness and low drift,” 08 2018
2018
Later among the works it cites.