References
- M. Kaess, A. Ranganathan, F. Dellaert,"iSAM: Incremental smoothing and mapping," IEEE Trans. on Robotics, vol. 24, no. 6, pp. 1365-1378, 2008. https://doi.org/10.1109/TRO.2008.2006706
- R. Manduchiet. al., "Obstacle detection and terrain classification for autonomous off-road navigation,"Autonomous Robots, vol. 18, no. 1, pp. 81-102, 2005. https://doi.org/10.1023/B:AURO.0000047286.62481.1d
- G. Grisetti, G. Stachniss, andW. Burgard,"Non-linear constraint network optimization for efficient map learning,"IEEE Trans. on Intelligent Transportation systems, vol. 10, no. 3, pp. 428-439, 2009. https://doi.org/10.1109/TITS.2009.2026444
- K. Sharma, I. Moon, andS. Kim, "Extraction of visual landmarks using improved feature matching technique for stereo vision applications,"IETE Technical Review, vol. 29, no. 6, pp. 473-481, 2012. https://doi.org/10.4103/0256-4602.105002
- J. Stuhmer,S. Gumhold, andD. Cremers,"Real-time dense geometry from a handheld camera," Proc. DAGM Symposium on Pattern Recognition, 2010.
- D. Nister,"Preemptive ransac for live structure and motion estimation," Machine Vision and Applications, vol. 16, no. 5, pp. 321-329, 2005. https://doi.org/10.1007/s00138-005-0006-y
- K. Koeser,B. Bartczak, and R. Koch, "An analysis-by-synthesis camera tracking approach based on free-form surfaces," Proc. German Conf. on Pattern Recognition, pp. 121-131, 2007.
- K. Nagataniet. al., "Three-dimensional localization and mapping for mobile robot in disaster environments," Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 3,pp. 3112-3117, 2003.
- K. Sharma, S. Kim, and M. Singh, "An improved feature matching technique for stereo vision applications with the use of self-organizing map," Int. J. of Prec. Eng. and Manufac., vol. 13, no. 8, pp. 1359-1368, 2012. https://doi.org/10.1007/s12541-012-0179-z
- L. Paz et. al. "Large-scale 6-DOF SLAM with stereoin-hand,"IEEE Trans. Robotics,vol. 24, no. 5, pp. 946-957, 2008. https://doi.org/10.1109/TRO.2008.2004637
- A. Comport, E. Malis, and P. Rives, "Real-time quadrifocal visual odometry," Int. J Robotics Research, vol. 29, no. (2-3), pp. 245-266, 2010. https://doi.org/10.1177/0278364909356601
- P. Henry et. al., "RGB-D mapping: Using depth cameras for dense 3D modeling of indoor environments,"Proc. Intl. Symp. on Experimental Robotics (ISER), 2010.
- P. Henry et. al., "RGB-D mapping: Using Kinect-style depth cameras for dense 3D modelling of indoor environments," TheInt. J. of Robotics Research, vol. 31, no. 5, pp. 647-663, 2012. https://doi.org/10.1177/0278364911434148
- W. Zhou, J. MirO, and G. Dissanayake, "Information-efficient 3-D visual SLAM for unstructured domains," IEEE Trans. on Robotics vol. 24, no. 5, pp. 1078-1087, 2008. https://doi.org/10.1109/TRO.2008.2004834
- D. Marzorati, M. Matteucci, and D.Sorrenti, "Particle-based sensor modeling for 3D-vision SLAM,"Proc. IEEE Int. Conf. on Robotics and Automation, Roma, pp. 4801-4806, 2007.
- C. Schmid and R. Mohr, "Local grayvalue invariants for image retrieval," IEEE Trans. on Pattern Analysis and MachineIntelligence, vol. 19, no. 5, pp. 530-534, 1997. https://doi.org/10.1109/34.589215
- J. Shi and C. Tomasi, "Good Features to Track," Proc. of the 9th IEEE Conference on Computer Vision and PatternRecognition, pp. 593-600, 1994.
- D. G. Lowe, "Distinctive Image Features from ScaleInvariant Keypoints," International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110 (2004). https://doi.org/10.1023/B:VISI.0000029664.99615.94
- J. L. B. Claraco, "Development of Scientific Applications with the Mobile Robot Programming Toolkit (MRPT)," Machine Perception and Intelligent Robotics Laboratory, University of Malaga, 2010.