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  • Optimization-based SLAM: A Literature Review

    摘自 "Robust Optimization for Simultaneous Localization and Mapping  Niko Sunderhauf (PhD thesis) 2012"第22, 49~51页。  PDF

              

              

    References:

    [Lu and Milios, 1997] Lu, F. and Milios, E. (1997). Globally consistent range scan alignment for environment mapping. Autonomous Robots, 4(4):333–349.
    [Gutmann and Konolige, 1999] Gutmann, J. and Konolige, K. (1999). Incremental mapping of large cyclic environments. In Proc. IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), page 318–325, Monterey, California.
    [Konolige, 2004] Konolige, K. (2004). Large-scale map-making. In Proceedings of the National Conference on AI (AAAI).
    [Thrun and Montemerlo, 2005] Thrun, S. and Montemerlo, M. (2005). The GraphSLAM algorithm with applications to large-scale mapping of urban structures. International Journal on Robotics Research, 25(5/6):403–430.
    [Folkesson and Christensen, 2004] Folkesson, J. and Christensen, H. (2004). Graphical SLAM – A Self-Correcting Map. In IEEE International Conference on Robotics and Automation 2004 Proceedings ICRA 04 2004, volume 1, pages 383–390. Ieee.
    [Duckett et al., 2002] Duckett, T., Marsland, S., and Shapiro, J. (2002). Fast, on-line learning of globally consistent maps. Autonomous Robots, 12(3):287–300.
    [Frese et al., 2005] Frese, U., Larsson, P., and Duckett, T. (2005). A multilevel relaxation algorithm for simultaneous localization and mapping. In IEEE Transactions on Robotics, volume 21, pages 196–207. IEEE.
    [Milford et al., 2005] Milford, M. J., Prasser, D., and Wyeth, G. F. (2005). Experience Mapping: Producing Spatially Continuous Environment Representations Using RatSLAM. In Proc. of Australasian Conference on Robotics and Automation, Sydney, Australia.
    [Olson et al., 2006] Olson, E., Leonard, J., and Teller, S. (2006). Fast iterative optimization of pose graphs with poor initial estimates. In Inl. Conf. on Robotics and Automation, ICRA.
    [Grisetti et al., 2009] Grisetti, G., Stachniss, C., and Burgard, W. (2009). Non-linear constraint network optimization for efficient map learning. IEEE Transactions on Intelligent Transportation Systems, 10(3).
    [Dellaert and Kaess, 2006] Dellaert, F. and Kaess, M. (2006). Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing. Intl. J. of Robotics Research, IJRR, 25(12).
    [Kaess et al., 2008] Kaess, M., Ranganathan, A., and Dellaert, F. (2008). iSAM: Incremental Smoothing and Mapping. IEEE Transactions on Robotics, 24(6).
    [Kaess et al., 2011] Kaess, M., Johannsson, H., Roberts, R., Ila, V., Leonard, J., and Dellaert, F. (2011). iSAM2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering. In IEEE Intl. Conf. on Robotics and Automation, ICRA.
    [Konolige et al., 2010b] Konolige, K., Grisetti, G., Kummerle, R., Burgard, W., Limketkai, B., and Vincent, R. (2010b). Efficient sparse pose adjustment for 2d mapping. In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS).
    [Grisetti et al., 2010] Grisetti, G., K, R., Stachniss, C., and Hertzberg, C. (2010). Hierarchical optimization on manifolds for online 2d and 3d mapping. In Proc. of IEEE International Conference on Robotics and Automation (ICRA), pages 273–278. IEEE.
    [Hertzberg et al., 2011] Hertzberg, C., Wagner, R., Frese, U., and Schroder, L. (2011). Integrating generic sensor fusion algorithms with sound state representations through encapsulation of manifolds. Information Fusion.
    [Wagner et al., 2011] Wagner, R., Birbach, O., and Frese, U. (2011). Rapid Development of Manifold-Based Graph Optimization Systems for Multi-Sensor Calibration and SLAM. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS11, pages 3305–3312. IEEE.
    [Kummerle et al., 2011b] Kummerle, R., Grisetti, G., Strasdat, H., Konolige, K., and Burgard, W. (2011b). g2o: A general framework for graph optimization. In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA).
    [Kummerle et al., 2011a] Kummerle, R., Grisetti, G., and Burgard, W. (2011a). Simultaneous Calibration, Localization, and Mapping. In Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on, pages 3716 –3721.
    [Kaess et al., 2010] Kaess, M., Ila, V., Roberts, R., and Dellaert, F. (2010). The Bayes Tree: An Algorithmic Foundation for Probabilistic Robot Mapping. In Proc. of Intl. Workshop on the Algorithmic Foundations of Robotics.
    [Kaess et al., 2012] Kaess, M., Johannsson, H., Roberts, R., Ila, V., Leonard, J., and Dellaert, F. (2012). iSAM2: Incremental Smoothing and Mapping Using the Bayes Tree. International Journal of Robotics Research.
    [Carlone et al., 2011a] Carlone, L., Aragues, R., Castellanos, J., and Bona, B. (2011a). A linear approximation for graph-based simultaneous localization and mapping. In Proc. of Robotics: Science and Systems, RSS.
    [Carlone et al., 2011b] Carlone, L., Aragues, R., Castellanos, J. A., and Bona, B. (2011b). A first-order solution to simultaneous localization and mapping with graphical models. In Robotics and Automation (ICRA), 2011 IEEE International Conference on, pages 1764 –1771.
    [Huang et al., 2010] Huang, S., Lai, Y., Frese, U., and Dissanayake, G. (2010). How far is SLAM from a linear least squares problem? In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS).
    [Huang et al., 2012] Huang, S., Wang, H., Frese, U., and Dissanayake, G. (2012). On the Number of Local Minima to the Point Feature Based SLAM Problem. In Proc. of IEEE Intl. Conf. on Robotics and Automation (ICRA).

    [Lourakis and Argyros, 2004] Lourakis, M. and Argyros, A. (2004). The design and implementation of a generic sparse bundle adjustment software package based on the levenberg-marquardt algorithm. Technical Report 340, Institute of Computer Science - FORTH, Heraklion, Crete, Greece. Available from http://www.ics.forth.gr/~lourakis/sba.
    [Triggs et al., 2000] Triggs, B., McLauchlan, P., Hartley, R., and Fitzgibbon, A. (2000). Bundle adjustment - A modern synthesis. In Triggs, W., Zisserman, A., and Szeliski, R., editors, Vision Algorithms: Theory and Practice, LNCS, pages 298–375. Springer Verlag.

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  • 原文地址:https://www.cnblogs.com/reinforce/p/5395449.html
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