This is a list of simultaneous localization and mapping (SLAM) methods. The KITTI Vision Benchmark Suite website has a more comprehensive list of Visual SLAM methods.
List of methods edit
- 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] - referred to as Zebedee (SLAM)
- RGB-D SLAM [13][14]
- BranoSLAM
- Kimera (open-source)[15]
- Wildcat-SLAM
References edit
- ^ Zikos, Nikos; Petridis, Vassilios (2014). "6-DoF Low Dimensionality SLAM (L-SLAM)". Journal of Intelligent & Robotic Systems. 79: 1–18. doi:10.1007/s10846-014-0029-6. ISSN 0921-0296. S2CID 40486562.
- ^ "SLAM". The Telegraph. 3 September 2019. 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" (PDF). 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality. pp. 1–10. doi:10.1109/ISMAR.2007.4538852. ISBN 978-1-4244-1749-0. S2CID 206986664.
- ^ J. Engel and T. Schops and D. Cremers (2014). "LSD-SLAM: Large-Scale Direct Monocular SLAM" (PDF). European Conference on Computer Vision (ECCV).
- ^ 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. hdl:11336/59974. 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. arXiv:1502.00956. Bibcode:2015arXiv150200956M. doi:10.1109/TRO.2015.2463671. ISSN 1552-3098. S2CID 206775100.
- ^ D. Zou and P. Tan (2013). "CoSLAM: Collaborative Visual SLAM in Dynamic Environments" (PDF). IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (2). IEEE: 354–66. doi:10.1109/TPAMI.2012.104. PMID 22547430. S2CID 9517281.
- ^ Michael J. Milford and Gordon. F. Wyeth. "SeqSLAM: Visual Route-Based Navigation for Sunny Summer Days and Stormy Winter Nights". Proceedings of the International Conference on Robotics and Automation.
- ^ "QSLAM". Sunday, 18 April 2021
- ^ "iSAM: Incremental Smoothing and Mapping". people.csail.mit.edu. Retrieved 2018-02-14.
- ^ M. Bosse and R. Zlot (2009). "Continuous 3D scan-matching with a spinning 2D laser". 2009 IEEE International Conference on Robotics and Automation. pp. 4312–4319. doi:10.1109/ROBOT.2009.5152851. ISBN 978-1-4244-2788-8. ISSN 1050-4729. S2CID 2819117.
- ^ 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". Retrieved 2019-09-20.
- ^ 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 International Conference on Robotics and Automation. arXiv:1910.02490.