Eliminating conditionally independent sets in factor graphs: A unifying perspective based on smart factors

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2014, Pages 4290-4297

  Carlone, Luca ^a   Kira, Zsolt ^a   Beall, Chris ^b   Indelman, Vadim ^b   Dellaert, Frank ^a  

^a Georgia Institute of Technology   (United States)

^b GEORGIA TECH RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; COMPUTER VISION; STRUCTURAL OPTIMIZATION;

BUNDLE ADJUSTMENTS; ESTIMATION PROBLEM; FACTOR GRAPHS; INDEPENDENT SET; MAXIMUM A POSTERIORI ESTIMATION; OPTIMIZATION PROBLEMS; ROBUST ESTIMATION;

ROBOTICS;

EID: 84929207669     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2014.6907483     Document Type: Conference Paper

References (27)

1. M. Kaess, H. Johannsson, R. Roberts, V. Ila, J. Leonard, and F. Dellaert, "iSAM2: Incremental smoothing and mapping using the Bayes tree, " Intl. J. of Robotics Research, vol. 31, pp. 217-236, Feb 2012
2. K. Konolige, G. Grisetti, R. Kuemmerle, W. Burgard, L. Benson, and R. Vincent, "Efficient sparse pose adjustment for 2D mapping, " in IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), Taipei, Taiwan, Oct 2010, pp. 22-29
3. R. Kmmerle, G. Grisetti, H. Strasdat, K. Konolige, and W. Burgard, "g2o: A general framework for graph optimization, " in Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), Shanghai, China, May 2011
4. L. Polok, V. Ila, M. Solony, P. Smrz, and P. Zemcik, "Incremental block cholesky factorization for nonlinear least squares in robotics, " in Robotics: Science and Systems (RSS), 2013
5. L. Carlone, R. Aragues, J. Castellanos, and B. Bona, "A linear approximation for graph-based simultaneous localization and mapping, " in Robotics: Science and Systems (RSS), 2011
6. G. Dubbelman, I. Esteban, and K. Schutte, "Efficient trajectory bending with applications to loop closure, " in IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2010, pp. 1-7
7. V. Ila, J. M. Porta, and J. Andrade-Cetto, "Information-based compact Pose SLAM, " IEEE Trans. Robotics, vol. 26, no. 1, 2010, In press [Online]. Available: http://dx.doi.org/10.1109/TRO.2009.2034435
8. H. Kretzschmar and C. Stachniss, "Information-theoretic compression of pose graphs for laser-based slam, " Intl. J. of Robotics Research, vol. 31, no. 11, pp. 1219-1230, 2012
9. G. Huang, M. Kaess, and J. Leonard, "Consistent sparsification for graph optimization, " in Proc. of the European Conference on Mobile Robots (ECMR), 2012
10. N. Carlevaris-Bianco and R. M. Eustice, "Generic factor-based node marginalization and edge sparsification for pose-graph SLAM, " in IEEE Intl. Conf. on Robotics and Automation (ICRA), 2013, pp. 5728-5735, name in key is spelled wrong
11. J. Neira and J. Tardos, "Data association in stochastic mapping using the joint compatibility test, " IEEE Trans. Robot. Automat., vol. 17, no. 6, pp. 890-897, December 2001
12. E. Olson, "Recognizing places using spectrally clustered local matches, " Robotics and Autonomous Systems, vol. 57, no. 12, pp. 1157-1172, 2009
13. N. Snderhauf and P. Protzel, "Switchable constraints for robust pose graph SLAM, " in IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2012
14. E. Olson and P. Agarwal, "Inference on networks of mixtures for robust robot mapping, " Intl. J. of Robotics Research, vol. 32, no. 7, pp. 826-840, 2013
15. L. S. C. S. P. Agarwal, G.D. Tipaldi and W. Burgard, "Robust map optimization using dynamic covariance scaling, " in IEEE Intl. Conf. on Robotics and Automation (ICRA), 2013
16. F. Kschischang, B. Frey, and H.-A. Loeliger, "Factor graphs and the sum-product algorithm, " IEEE Trans. Inform. Theory, vol. 47, no. 2, February 2001
17. N. Snavely, S. M. Seitz, and R. Szeliski, "Modeling the world from Internet photo collections, " Intl. J. of Computer Vision, vol. 80, no. 2, pp. 189-210, November 2008 [Online]. Available: http://phototour.cs.washington.edu/
18. A. Mourikis and S. Roumeliotis, "A multi-state constraint Kalman filter for vision-Aided inertial navigation, " in IEEE Intl. Conf. on Robotics and Automation (ICRA), April 2007, pp. 3565-3572
19. M. Li and A. Mourikis, "High-precision, consistent EKF-based visualinertial odometry, " Intl. J. of Robotics Research, vol. 32, no. 6, pp. 690-711, 2013
20. Y. Jeong, D. Nister, D. Steedly, R. Szeliski, and I. Kweon, "Pushing the envelope of modern methods for bundle adjustment, " IEEE Trans. Pattern Anal. Machine Intell., vol. 34, no. 8, pp. 1605-1617, 2012
21. A. Geiger, P. Lenz, and R. Urtasun, "Are we ready for autonomous driving? the KITTI vision benchmark suite, " in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Providence, USA, June 2012, pp. 3354-3361
22. K. Konolige, "Sparse sparse bundle adjustment, " in British Machine Vision Conf. (BMVC), September 2010
23. K. Konolige, "Large-scale map-making, " in Proc. 21th AAAI National Conference on AI, San Jose, CA, 2004
24. J. Folkesson and H. I. Christensen, "Robust SLAM, " in IAV-2004, Lisboa, PT, July 5-7 2004
25. T. Lupton and S. Sukkarieh, "Visual-inertial-Aided navigation for highdynamic motion in built environments without initial conditions, " IEEE Trans. Robotics, vol. 28, no. 1, pp. 61-76, Feb 2012
26. T. Minka, "Expectation-Maximization as lower bound maximization, " November 1998
27. G. Sharp, S. Lee, and D. Wehe, "Multiview registration of 3D scenes by minimizing error between coordinate frames, " IEEE Trans. Pattern Anal. Machine Intell., vol. 26, no. 8, pp. 1037-1050, 2004