publication . Article . 2018

Situations in Construction of 3D Mapping for Slam

Stanislav Shydlouski; Trang Nguyen Hoang Thuy; Trang Nguyen Hoang Thuy;
Open Access
  • Published: 01 Jan 2018 Journal: MATEC Web of Conferences, volume 155, page 1,055 (eissn: 2261-236X, Copyright policy)
  • Publisher: EDP Sciences
<jats:p>Nowadays, the simultaneous localization and mapping (SLAM) approach has become one of the most advanced engineering methods used for mobile robots to build maps in unknown or inaccessible spaces. Update maps before a certain area while tracking current location and distance. The motivation behind writing this paper is mainly to help us better understand about SLAM and the study situation of SLAM in the world today. Through this, we find the optimal algorithm for moving robots in three dimensions.</jats:p>
free text keywords: Engineering (General). Civil engineering (General), TA1-2040, Robot, Mobile robot, Simultaneous localization and mapping, Computer vision, 3d mapping, Artificial intelligence, business.industry, business
16 references, page 1 of 2

[1] Osian Haines, An Introduction to Simultaneous Localisation and Mapping, URL (2016).

[2] Wolfram Burgard, Cyrill Stachniss, Kai Arras, Maren Bennewitz, Introduction to Mobile Robotics, SLAM: Simultaneous Localization and Mapping, University of Freiburg (2012)

[3] P. Mountney, D. Stoyanov, A. Davison, A. Yang, Simultaneous Stereoscope Localization and Soft-Tissue Mapping for Minimal Invasive Surgery, MICCAI. Lecture Notes in Computer Science. ISBN 978-3-540-44707-8, 347-354 (2006)

[4] John Allan, Mark Reid, Ric Durrant, Geospatial SLAM, URL (2012)

[5] Sean Higgins, Google Releases LiDAR SLAM Algorithms, Teases Innovative Mapping Solution, URL, Spar 3D editor, (2016)

[6] H. Wang, J. Wang, Le Yu, L. Zhen-ye, A new SLAM method based on SVM-AEKF for AUV. In OCEANS, 1-6. IEEE (2011)

[7] J. Il-Kyun, S. Lacroix, High resolution terrain mapping using low attitude aerial stereo imagery, in Computer Vision, proceedings. 9th IEEE Conf., 946-951, (2003)

[8] T. Suzuki, Y. Amano, T. Hashizume, Development of a sift based monocular EKF-SLAM algorithm for a small unmanned aerial vehicle, in SICE Annual Conf., Proceedings of IEEE, 1656-1659 (2011)

[9] M. Montemerlo, S. Thrun, D. Koller, B. Wegbreit, in AAAI/IAAI, 593 (2002)

[10] X. Li, W. Cui, J. S.Jia, EEE Conf., 779 (2010)

[11] H. Lategahn, A. Geiger, and B. Kitt, IEEE Conf., 1732 (2011)

[12] T.J. Chong, X.J. Tang, C.H. Leng, M. Yogeswaran, O.E. Ng, Y.Z. Chong, Sensor Technologies and Simultaneous Localization and Mapping (SLAM) (Universiti Tunku Abdul Rahman, Malaysia, 2015)

[13] Guanqun Bao, On Simultaneous Localization and Mapping inside the Human Body (Body-SLAM), (2014)

[14] R.F. Salas-Moreno, R.A. Newcombe, H. Strasdat, P.H.J. Kelly, A.J. Davison, SLAM++: Simultaneous Localisation and Mapping at the Level of Objects (Imperial College London, University of Washington, 2013)

[15] R. Valencia, E.H. Teniente, E. Trulls, J.A. Cetto, 3D Mapping for Urban Service Robots, (2009)

16 references, page 1 of 2
Any information missing or wrong?Report an Issue