Fetching the paper…
Reading the bibliography…
In this paper, we present RKD-SLAM, a robust keyframe-based dense SLAM approach for an RGB-D camera that can robustly handle fast motion and dense loop closure, and run without time limitation in a moderate size scene.
P. J. Besl and N. D. McKay, “A method for registration of 3-D shapes,” IEEE Trans. Pattern Anal. Mach. Intell. , vol. 14, no. 2, pp. 239–256, 1992
1992
Earlier work this paper cites.
B. Triggs, P. F. McLauchlan, R. I. Hartley, and A. W. Fitzgibbon, “Bundle adjustment - a modern synthesis.” in Workshop on Vision Algorithms , 1999, pp. 298–372
1999
Earlier work this paper cites.
R. Hartley and A. Zisserman, Multiple view geometry in computer vision . Cambridge university press, 2004
2004
Earlier work this paper cites.
E. Olson, J. J. Leonard, and S. J. Teller, “Fast iterative alignment of pose graphs with poor initial estimates,” in Proceedings of IEEE International Conference on Robotics and Automation , 2006, pp. 2262–2269
2006
Earlier work this paper cites.
G. Klein and D. W. Murray, “Parallel tracking and mapping for small AR workspaces,” in 6th IEEE/ACM International Symposium on Mixed and Augmented Reality , 2007, pp. 225–234
2007
Earlier work this paper cites.
M. Kaess, A. Ranganathan, and F. Dellaert, “iSAM: Incremental smoothing and mapping,” IEEE Transactions on Robotics , vol. 24, no. 6, pp. 1365–1378, 2008
2008
Earlier work this paper cites.
G. Klein and D. W. Murray, “Improving the agility of keyframe-based SLAM,” in 10th European Conference on Computer Vision, Part II . Springer, 2008, pp. 802–815
2008
Earlier work this paper cites.
J. Civera, A. J. Davison, and J. M. Montiel, “Inverse depth parametrization for monocular SLAM,” IEEE Transactions on Robotics , vol. 24, no. 5, pp. 932–945, 2008
2008
Earlier work this paper cites.
H. Strasdat, J. M. M. Montiel, and A. J. Davison, “Scale drift-aware large scale monocular SLAM,” in Robotics: Science and Systems VI , 2010
2010
Earlier work this paper cites.
R. A. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohli, J. Shotton, S. Hodges, and A. W. Fitzgibbon, “Kinectfusion: Real-time dense surface mapping and tracking,” in 10th IEEE International Symposium on Mixed and Augmented Reality , 2011, pp. 127–136
2011
Earlier work this paper cites.
A. S. Huang, A. Bachrach, P. Henry, M. Krainin, D. Maturana, D. Fox, and N. Roy, “Visual odometry and mapping for autonomous flight using an RGB-D camera,” in The 15th International Symposium on Robotics Research , 2011, pp. 235–252
2011
Earlier work this paper cites.
R. A. Newcombe, S. Lovegrove, and A. J. Davison, “DTAM: dense tracking and mapping in real-time,” in IEEE International Conference on Computer Vision , 2011, pp. 2320–2327
2011
Earlier work this paper cites.
R. Kümmerle, G. Grisetti, H. Strasdat, K. Konolige, and W. Burgard, “g 2 {}^{\mbox{2}} o: A general framework for graph optimization,” in IEEE International Conference on Robotics and Automation , 2011, pp. 3607–3613
2011
Earlier work this paper cites.
E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, “ORB: an efficient alternative to SIFT or SURF,” in IEEE International Conference on Computer Vision . IEEE, 2011, pp. 2564–2571
2011
Earlier work this paper cites.
G. Vogiatzis and C. Hernández, “Video-based, real-time multi-view stereo,” Image Vision Comput. , vol. 29, no. 7, pp. 434–441, 2011
2011
Earlier work this paper cites.
T. Whelan, J. McDonald, M. Kaess, M. Fallon, H. Johannsson, and J. Leonard, “Kintinuous: Spatially extended KinectFusion,” in RSS Workshop on RGB-D: Advanced Reasoning with Depth Cameras , Sydney, Australia, Jul 2012
2012
Earlier work this paper cites.
M. Kaess, H. Johannsson, R. Roberts, V. Ila, J. J. Leonard, and F. Dellaert, “iSAM2: Incremental smoothing and mapping using the bayes tree,” The International Journal of Robotics Research , vol. 31, no. 2, pp. 216–235, 2012
2012
Cited alongside, same era.
D. Gálvez-López and J. D. Tardós, “Bags of binary words for fast place recognition in image sequences,” IEEE Transactions on Robotics , vol. 28, no. 5, pp. 1188–1197, 2012
2012
Cited alongside, same era.
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers, “A benchmark for the evaluation of RGB-D SLAM systems,” in IEEE/RSJ International Conference on Intelligent Robot Systems , Oct. 2012, pp. 573–580
2012
Cited alongside, same era.
Y. Jeong, D. Nister, D. Steedly, R. Szeliski, and I.-S. Kweon, “Pushing the envelope of modern methods for bundle adjustment,” IEEE transactions on pattern analysis and machine intelligence , vol. 34, no. 8, pp. 1605–1617, 2012
2012
Cited alongside, same era.
J. Stückler and S. Behnke, “Multi-resolution surfel maps for efficient dense 3D modeling and tracking,” J. Visual Communication and Image Representation , vol. 25, no. 1, pp. 137–147, 2014
2014
Later among the works it cites.
A. Handa, T. Whelan, J. McDonald, and A. J. Davison, “A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM,” in 2014 IEEE International Conference on Robotics and Automation, ICRA 2014, Hong Kong, China, May 31 - June 7, 2014 , 2014, pp. 1524–1531
2014
Later among the works it cites.
R. Mur-Artal, J. Montiel, and J. D. Tardos, “ORB-SLAM: a versatile and accurate monocular SLAM system,” IEEE Transactions on Robotics , vol. 31, no. 5, pp. 1147–1163, 2015
2015
Later among the works it cites.
T. Whelan, S. Leutenegger, R. F. Salas-Moreno, B. Glocker, and A. J. Davison, “Elasticfusion: Dense SLAM without A pose graph,” in Robotics: Science and Systems XI, Sapienza University of Rome, Rome, Italy, July 13-17, 2015 , 2015
2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
M. Kaess, H. Johannsson, R. Roberts, V. Ila, J. J. Leonard, and F. Dellaert, “iSAM2: Incremental smoothing and mapping using the bayes tree,” International Journal of Robotics Research , vol. 31, no. 2, pp. 216–235, 2012
2012
Cited alongside, same era.
F. Endres, J. Hess, N. Engelhard, J. Sturm, D. Cremers, and W. Burgard, “An evaluation of the RGB-D SLAM system,” in IEEE International Conference on Robotics and Automation, ICRA 2012, 14-18 May, 2012, St. Paul, Minnesota, USA , 2012, pp. 1691–1696
2012
Cited alongside, same era.
M. Nießner, M. Zollhöfer, S. Izadi, and M. Stamminger, “Real-time 3D reconstruction at scale using voxel hashing,” ACM Trans. Graph. , vol. 32, no. 6, pp. 169:1–169:11, 2013
2013
Cited alongside, same era.
C. Kerl, J. Sturm, and D. Cremers, “Dense visual SLAM for RGB-D cameras,” in IEEE/RSJ International Conference on Intelligent Robots and Systems , 2013, pp. 2100–2106
2013
Cited alongside, same era.
M. Zeng, F. Zhao, J. Zheng, and X. Liu, “Octree-based fusion for realtime 3D reconstruction,” Graphical Models , vol. 75, no. 3, pp. 126–136, 2013
2013
Cited alongside, same era.
V. Pradeep, C. Rhemann, S. Izadi, C. Zach, M. Bleyer, and S. Bathiche, “Monofusion: Real-time 3D reconstruction of small scenes with a single web camera,” in IEEE International Symposium on Mixed and Augmented Reality , 2013, pp. 83–88
2013
Cited alongside, same era.
Q. Zhou, S. Miller, and V. Koltun, “Elastic fragments for dense scene reconstruction,” in IEEE International Conference on Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013 , 2013, pp. 473–480
2013
Cited alongside, same era.
J. Engel, T. Schöps, and D. Cremers, “LSD-SLAM: Large-scale direct monocular SLAM,” in 13th European Conference on Computer Vision, Part II . Springer, 2014, pp. 834–849
2014
Cited alongside, same era.
O. Kahler, V. A. Prisacariu, C. Y. Ren, X. Sun, P. H. S. Torr, and D. W. Murray, “Very High Frame Rate Volumetric Integration of Depth Images on Mobile Device,” IEEE Transactions on Visualization and Computer Graphics (Proceedings of ISMAR 2015) , vol. 22, no. 11, 2015
2015
Later among the works it cites.
T. Whelan, M. Kaess, H. Johannsson, M. F. Fallon, J. J. Leonard, and J. McDonald, “Real-time large-scale dense RGB-D SLAM with volumetric fusion,” I. J. Robotics Res. , vol. 34, no. 4-5, pp. 598–626, 2015
2015
Later among the works it cites.
T. Schöps, T. Sattler, C. Häne, and M. Pollefeys, “3D modeling on the go: Interactive 3D reconstruction of large-scale scenes on mobile devices,” in 2015 International Conference on 3D Vision , 2015, pp. 291–299
2015
Later among the works it cites.
P. Ondruska, P. Kohli, and S. Izadi, “Mobilefusion: Real-time volumetric surface reconstruction and dense tracking on mobile phones,” IEEE Trans. Vis. Comput. Graph. , vol. 21, no. 11, pp. 1251–1258, 2015
2015
Later among the works it cites.
S. Choi, Q. Zhou, and V. Koltun, “Robust reconstruction of indoor scenes,” in IEEE Conference on Computer Vision and Pattern Recognition , 2015, pp. 5556–5565
2015
Later among the works it cites.
T. Whelan, R. F. Salas-Moreno, B. Glocker, A. J. Davison, and S. Leutenegger, “Elasticfusion: Real-time dense SLAM and light source estimation,” I. J. Robotics Res. , vol. 35, no. 14, pp. 1697–1716, 2016
2016
Later among the works it cites.
H. Liu, G. Zhang, and H. Bao, “Robust keyframe-based monocular SLAM for augmented reality,” in IEEE International Symposium on Mixed and Augmented Reality , 2016
2016
Later among the works it cites.
A. Dai, M. Nießner, M. Zollhöfer, S. Izadi, and C. Theobalt, “Bundlefusion: Real-time globally consistent 3D reconstruction using on-the-fly surface reintegration,” ACM Trans. Graph. , vol. 36, no. 3, pp. 24:1–24:18, 2017
2017
Closest in time.
R. Maier, R. Schaller, and D. Cremers, “Efficient online surface correction for real-time large-scale 3D reconstruction,” in BMVC , 2017, pp. 1–12
2017
Closest in time.
V. Ila, L. Polok, M. Solony, and P. Svoboda, “SLAM++ -a highly efficient and temporally scalable incremental slam framework,” The International Journal of Robotics Research , vol. 36, no. 2, pp. 210–230, 2017
2017
Closest in time.
V. Ila, L. Polok, M. Solony, and K. Istenic, “Fast incremental bundle adjustment with covariance recovery,” in International Conference on 3D Vision , 2017, pp. 4321–4330
2017
Closest in time.