List of SLAM methods: Difference between revisions

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This is a list of SLAM (Simultaneous localization and mapping) methods.

List of methods

GraphSLAM
Occupancy Grid SLAM^[2]
DP-SLAM
Parallel Tracking and Mapping (PTAM)^[3]
LSD-SLAM^[4] (available as open-source)
S-PTAM^[5] (available as open-source)
ORB-SLAM^[6] (available as open-source)
ORB-SLAM2 (available as open-source)
MonoSLAM
CoSLAM^[7]
SeqSlam^[8]
iSAM^[9]

References

^ Zikos, Nikos; Petridis, Vassilios (2014), "6-DoF Low Dimensionality SLAM (L-SLAM)", Journal of Intelligent & Robotic Systems, Springer: 1–18, doi:10.1007/s10846-014-0029-6, ISSN 0921-0296
^ 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). International Symposium on Mixed and Augmented Reality (ISMAR).
^ 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. 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. arXiv:1502.00956. doi:10.1109/TRO.2015.2463671. ISSN 1552-3098.
^ D. Zou and P. Tan (2013). "CoSLAM: Collaborative Visual SLAM in Dynamic Environments" (PDF). IEEE Trans. on Pattern Analysis and Machine Intelligence. IEEE.
^ 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.
^ "iSAM: Incremental Smoothing and Mapping". people.csail.mit.edu. Retrieved 2018-02-14.

[Zikos2014-1] Zikos, Nikos; Petridis, Vassilios (2014), "6-DoF Low Dimensionality SLAM (L-SLAM)", Journal of Intelligent & Robotic Systems, Springer: 1–18, doi:10.1007/s10846-014-0029-6, ISSN 0921-0296

[Trun2005-2] Thrun, S.; Burgard, W.; Fox, D. (2005). Probabilistic Robotics. Cambridge: The MIT Press. ISBN 0-262-20162-3.

[Klein07-3] G. Klein and D. Murray (2007). "Parallel Tracking and Mapping for Small AR Workspaces" (PDF). International Symposium on Mixed and Augmented Reality (ISMAR).

[Engel14-4] J. Engel and T. Schops and D. Cremers (2014). "LSD-SLAM: Large-Scale Direct Monocular SLAM" (PDF). European Conference on Computer Vision (ECCV).

[pire17-5] 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. doi:10.1016/j.robot.2017.03.019. ISSN 0921-8890.

[Mur-Artal15-6] 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. doi:10.1109/TRO.2015.2463671. ISSN 1552-3098.

[Danping13-7] D. Zou and P. Tan (2013). "CoSLAM: Collaborative Visual SLAM in Dynamic Environments" (PDF). IEEE Trans. on Pattern Analysis and Machine Intelligence. IEEE.

[Milford-8] 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.

[9] "iSAM: Incremental Smoothing and Mapping". people.csail.mit.edu. Retrieved 2018-02-14.

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+* iSAM<ref>{{Cite web|url=http://people.csail.mit.edu/kaess/isam/|title=iSAM: Incremental Smoothing and Mapping|website=people.csail.mit.edu|access-date=2018-02-14}}</ref>
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