PointMatcherPlugin in Paraview Top-left: an example of ICP configuration as modules in Paraview's pipeline. Note how the reading and reference filter pipelines connect to the inputs of a PMIcpFilter Bottom-left: the Point Matcher filter menu with the available filters Right: parameters of libpointmatcher's matchers, outlier filters, error minimizers and transformation checkers, accessible through properties of PMIcpFilter Simultaneous Localisation and Mapping (SLAM): Part I The Essential Algorithms, Bibliography IEEE Robotics and Automation Magazine, vol.5, issue.13 2, pp.99-110, 2006. ,
A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, pp.239-256, 1992. ,
DOI : 10.1109/34.121791
Globally Consistent 3D Mapping with Scan Matching, Robot. Auton. Syst, vol.56, issue.79, pp.130-142, 2008. ,
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age, IEEE Transactions on Robotics, vol.32, issue.6, pp.1309-1332, 2016. ,
DOI : 10.1109/TRO.2016.2624754
Vadim Indelman and Frank Dellaert Eliminating conditionally independent sets in factor graphs: a unifying perspective based on smart factors, Int. Conf. on Robotics and Automation (ICRA), p.2014, 2014. ,
An accurate closed-form estimate of ICP's covariance, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.3167-3172, 2007. ,
DOI : 10.1109/ROBOT.2007.363961
Position referencing and consistent world modeling for mobile robots, Proceedings. 1985 IEEE International Conference on Robotics and Automation, pp.138-145, 1985. ,
DOI : 10.1109/ROBOT.1985.1087373
Inverse Depth Parametrization for Monocular SLAM, IEEE Transactions on Robotics, vol.24, issue.5, pp.932-945, 2008. ,
DOI : 10.1109/TRO.2008.2003276
URL : http://www.doc.ic.ac.uk/~ajd/Publications/civera_etal_tro2008.pdf
World modelling and position estimation for a mobile robot using ultrasonic ranging, IEEE International Conference on Robotics and Automation, pp.674-680, 1989. ,
Simultaneous Localisation and Mapping (SLAM): Part II State of the Art, IEEE Robotics and Automation Magazine, vol.13, issue.3, pp.108-117, 2006. ,
IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation, Robotics: Science and Systems XI, p.50, 2015. ,
DOI : 10.15607/RSS.2015.XI.006
On-Manifold Preintegration for Real-Time Visual--Inertial Odometry, IEEE Transactions on Robotics, vol.33, issue.1, p.2016, 2016. ,
DOI : 10.1109/TRO.2016.2597321
A Tutorial on Graph-Based SLAM. Intelligent Transportation Systems Magazine, IEEE, vol.2, issue.17, pp.31-43, 2010. ,
Cheirality Invariants, proc. DARPA Image Understanding Workshop, pp.745-753, 1993. ,
The Bayes Tree: An Algorithmic Foundation for Probabilistic Robot Mapping, Algorithmic Foundations of Robotics IX, pp.157-173, 2011. ,
DOI : 10.1007/978-3-642-17452-0_10
iSAM2: Incremental smoothing and mapping using the Bayes tree, The International Journal of Robotics Research, vol.16, issue.2, pp.216-235, 2012. ,
DOI : 10.1137/0213035
Impact of Landmark Parametrization on Monocular EKF-SLAM with Points and Lines, International Journal of Computer Vision, vol.24, issue.5, pp.339-368, 2012. ,
DOI : 10.1007/3-540-44480-7_21
Real-time monocular SLAM: Why filter?, 2010 IEEE International Conference on Robotics and Automation, pp.2657-2664, 2010. ,
DOI : 10.1109/ROBOT.2010.5509636
URL : http://www.doc.ic.ac.uk/~ajd/Publications/strasdat_etal_icra2010.pdf
Editors Choice Article: Visual SLAM: Why Filter? Image Vision Comput, pp.65-77, 2012. ,
Simultaneous Localization and Mapping, 2007. ,
Monocular-SLAM-based navigation for autonomous micro helicopters in GPS-denied environments, Journal of Field Robotics, vol.22, issue.1, pp.854-874, 2011. ,
DOI : 10.1109/TRO.2005.858857
LOAM: Lidar Odometry and Mapping in Real-time, Robotics: Science and Systems X, 2014. ,
DOI : 10.15607/RSS.2014.X.007
Parallax angle parametrization for monocular SLAM, 2011 IEEE International Conference on Robotics and Automation, pp.3117-3124, 2011. ,
DOI : 10.1109/ICRA.2011.5979934
ParallaxBA: bundle adjustment using parallax angle feature parametrization, The International Journal of Robotics Research, vol.1883, issue.2000, pp.493-516, 2015. ,
DOI : 10.1109/ICARCV.2010.5707820
URL : https://opus.lib.uts.edu.au/bitstream/10453/35549/1/ParallaxAngleParametrization_IJRR_20140825.pdf