Engineering:List of SLAM Methods
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Revision as of 09:24, 22 September 2021 by imported>Jslovo (fix)
This is a list of Simultaneous localization and mapping (SLAM) methods. The KITTI Vision Benchmark Suite website has a more comprehensive list.
List of methods
- EKF SLAM
- FastSLAM 1.0
- FastSLAM 2.0
- L-SLAM[1] (Matlab code)
- QSLAM[2]
- GraphSLAM
- Occupancy Grid SLAM[3]
- DP-SLAM
- Parallel Tracking and Mapping (PTAM)[4]
- LSD-SLAM[5] (available as open-source)
- S-PTAM[6] (available as open-source)
- ORB-SLAM[7] (available as open-source)
- ORB-SLAM2 (available as open-source)
- ORB-SLAM3 (available as open-source)
- OrthoSLAM
- MonoSLAM
- GroundSLAM
- CoSLAM[8]
- SeqSlam[9][10]
- iSAM (Incremental Smoothing and Mapping)[11]
- CT-SLAM (Continuous Time)[12]
- RGB-D SLAM [13][14]
- BranoSLAM
- Kimera (open-source)[15]
References
- ↑ Zikos, Nikos; Petridis, Vassilios (2014), "6-DoF Low Dimensionality SLAM (L-SLAM)", Journal of Intelligent & Robotic Systems (Springer) 79: 1–18, doi:10.1007/s10846-014-0029-6, ISSN 0921-0296
- ↑ "SLAM". https://www.telegraph.co.uk/business/business-reporter/ai-robots/. Sunday, 2 May 2021
- ↑ Thrun, S.; Burgard, W.; Fox, D. (2005). Probabilistic Robotics. Cambridge: The MIT Press. ISBN 0-262-20162-3.
- ↑ G. Klein and D. Murray (2007). "Parallel Tracking and Mapping for Small AR Workspaces". International Symposium on Mixed and Augmented Reality (ISMAR): 1–10. doi:10.1109/ISMAR.2007.4538852. ISBN 978-1-4244-1749-0. http://www.robots.ox.ac.uk/~gk/publications/KleinMurray2007ISMAR.pdf.
- ↑ J. Engel and T. Schops and D. Cremers (2014). "LSD-SLAM: Large-Scale Direct Monocular SLAM". European Conference on Computer Vision (ECCV). https://vision.in.tum.de/_media/spezial/bib/engel14eccv.pdf.
- ↑ Taihú Pire and Thomas Fischer and Gastón Castro and Pablo De Cristóforis and Javier Civera and Julio Jacobo Berlles (2017). "S-PTAM: Stereo Parallel Tracking and Mapping". Robotics and Autonomous Systems 93: 27–42. doi:10.1016/j.robot.2017.03.019. ISSN 0921-8890.
- ↑ R. Mur-Artal and J. M. M. Montiel and J. D. Tardós (2015). "ORB-SLAM: A Versatile and Accurate Monocular SLAM System". IEEE Transactions on Robotics 31 (5): 1147–1163. doi:10.1109/TRO.2015.2463671. ISSN 1552-3098. Bibcode: 2015arXiv150200956M.
- ↑ D. Zou and P. Tan (2013). "CoSLAM: Collaborative Visual SLAM in Dynamic Environments". IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE) 35 (2): 354–66. doi:10.1109/TPAMI.2012.104. PMID 22547430. http://www.cs.sfu.ca/~pingtan/Papers/pami12_slam.pdf.
- ↑ Michael J. Milford and Gordon. F. Wyeth. "SeqSLAM: Visual Route-Based Navigation for Sunny Summer Days and Stormy Winter Nights". Proc. Of Intl. Conf. On Robotics and Automation.
- ↑ "QSLAM". https://uspto.report/patent/app/20210089040. Sunday, 18 April 2021
- ↑ "iSAM: Incremental Smoothing and Mapping". http://people.csail.mit.edu/kaess/isam/.
- ↑ M. Bosse and R. Zlot (2009). "Continuous 3D scan-matching with a spinning 2d laser". 2009 IEEE International Conference on Robotics and Automation: 4312–4319. doi:10.1109/ROBOT.2009.5152851. ISBN 978-1-4244-2788-8. ISSN 1050-4729.
- ↑ F. Endres and J. Hess and J. Sturm and D. Cremers and W. Burgard (2013). "3-D mapping with an RGB-D camera". IEEE Transactions on Robotics: 177–187.
- ↑ "Rgbdslamv2". https://felixendres.github.io/rgbdslam_v2/.
- ↑ A. Rosinol and M. Abate and Y. Chang and L. Carlone (2020). "Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping". IEEE Intl. Conf. on Robotics and Automation (ICRA). https://arxiv.org/pdf/1910.02490.pdf.