3D plane-based egomotion for SLAM on semi-struetured environment

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2007, Pages 2761-2766

  Viejo, Diego ^a   Cazorla, Miguel ^a  

^a UNIVERSITY OF ALICANTE   (Spain)

Author keywords

3D robot mapping; Plane extraction; Registration; SLAM

Indexed keywords

3D ROBOT MAPPING; PLANE EXTRACTION; REGISTRATION; SLAM; SLAM PROBLEM;

INTELLIGENT ROBOTS; ROBOTICS;

INTELLIGENT SYSTEMS;

EID: 51349148472     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399138     Document Type: Conference Paper

References (15)

1. G. Dissanayake, P. Newman, S. Clark, H, Durrani-White, M. Csorba. A solution to the simultaneus localization and map building (SLAM) problem. IEEE Transactions on Robotics and Autonomation. 17 (3). pp. 229-241. 2001
2. M. Montemerlo, S, Thrun, D. Koller, B. Webgreit. FastSLAM 2.0: An improved particle filtering algorithm for simultaneus localization and mappling that probably converges. In proceedings of the International Joint Conference on Artificial Intelligence, IJCAI, 2003.
3. D. Viejo and M. Cazorla Plane Extraction and Error Modeling of 3D data 5th International Symposium on Robotics and Automation. Mexico. Agosto, 2006.
4. David M. Cole, Alastair R. Harrison, Paul M. Newman. Using Naturally Salient Regions for SLAM with 3D Laser Data. In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2005
5. David M. Cole and Paul M. Newman. Using Laser Range Data for 3D SLAM in Outdoor Environments. In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2006
6. H. Surmann, A. Nuchter, and J. Hertzberg. An autonomous mobile robot with a 3D laser range finder for 3D exploration and digitalization of indoor environments. Robotics and Autonomous Systems, 45:181-198, December 2003.
7. R. Lakaemper and L.J. Latecki. "Extended EM for Planer Approximation of 3D Data". Proceedings of the 2006 IEEE International Conference on Robotics and Automation. Orlando, Florida. May 2006.
8. S. Thrun, C. Martin, Y. Liu, D. Hhnel, R. Emery-Montemerlo, D. Chakrabarti, and W. Burgard. "A real-time expectation maximization algorithm for acquiring multi-planar maps of indoor environments with mobile robots." IEEE Transactions on Robotics and Automation, 2003.
9. R. Triebel, W. Burgard and F. Dellaert , "Using Hierarchical EM to Extract Planes from 3D Range Scans". In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2005
10. Weingarten, J. and Siegwart, R. "EKF-based 3D SLAM for Structured Environment Reconstruction". In Proceedings of IROS, Edmonton, Canada, August 2-6, 2005. (IROS'2005)
11. P. J. Besl and N. D. McKay. A method for registration of 3-d shapes. IEEE Trans. Pattern Anal. Mach. Intell., 14(2):239-256, 1992
12. S. Rusinkiewicz and M. Levoy. Efficient Variants of the ICP Algorithm. Third International Conference on 3D Digital Imaging and Modeling (3DIM). 2001.
13. M. Martin Nevado, J. Gomez Garcia-Bermejo, E. Zalama Casanova. Obtaining 3D models of indoor environments with a mobile robot by estimating local surface directions. Robotics and Autonomous Systems. Elsevier.Vol 48/2-3. pp. 131-143. 2004.
14. F Y. Shih, Shouxian Cheng. Automatic seeded region growing for color image segmentation. Image and Vision Computing. Vol 23. pp 877-886. 2005.
15. J. Fan, G. Zeng, M. Body and M. S. Hacid. Seeded region growing: an extensive and comparative study. Pattern Recogn. Lett. Vol. 26 pp 1139-1156.2005