The Problem of Selection of Fingerprints for Topological Localization

Article Preview

Abstract:

Visual navigation is extensively used in contemporary robotics. In particular, we can mention different systems of visual landmarks. In this paper, we consider one-dimensional color panoramas. Panoramas can be used for creating fingerprints. Fingerprints give us unique identifiers for visually distinct locations by recovering statistically significant features. Fingerprints can be used as visual landmarks for mobile robot navigation. In this paper, we consider a method for automatic generation of fingerprints. Since a fingerprint is a circular string, different string-matching algorithms can be used for selection of fingerprints. In particular, we consider the problem of finding the consensus of circular strings under the Hamming distance metric.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

946-949

Citation:

Online since:

August 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A. Gorbenko, V. Popov, Programming for Modular Reconfigurable Robots, Programming and Computer Software 38 (2012) 13-23.

DOI: 10.1134/s0361768812010033

Google Scholar

[2] A. Gorbenko, Graph-Theoretic Models for the Module of Safe Planning for Control Systems of Mobile Robots, Advanced Materials Research 683 (2013) 737-740.

DOI: 10.4028/www.scientific.net/amr.683.737

Google Scholar

[3] A. Gorbenko, V. Popov, Self-Learning of Robots and the Model of Hamiltonian Path with Fixed Number of Color Repetitions for Systems of Scenarios Creation, Advanced Materials Research 683 (2013) 909-912.

DOI: 10.4028/www.scientific.net/amr.683.909

Google Scholar

[4] C. Gonzalez-Buesa, J. Campos, Solving the mobile robot localization problem using string matching algorithms, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE Press, 2004, pp.2475-2480.

DOI: 10.1109/iros.2004.1389780

Google Scholar

[5] V. Popov, Multiple genome rearrangement by swaps and by element duplications, Theor. Comput. Sci. 385 (2007) 115-126.

DOI: 10.1016/j.tcs.2007.05.029

Google Scholar

[6] V. Popov, Computational complexity of problems related to DNA sequencing by hybridization, Dokl. Math. 72 (2005) 642-644.

Google Scholar

[7] V. Popov, The approximate period problem for DNA alphabet, Theor. Comput. Sci. 304 (2003) 443-447.

Google Scholar

[8] A. Gorbenko, V. Popov, The set of parameterized k-covers problem, Theor. Comput. Sci. 423 (2012) 19-24.

Google Scholar

[9] A. Martinelli, A. Tapus, K. Arras, R. Siegwart, Multi-resolution SLAM for Real World Navigation, STAR 15 (2005) 442-452.

DOI: 10.1007/11008941_47

Google Scholar

[10] Neato Robotics web page. http: /www. neatorobotics. com.

Google Scholar

[11] A. Gorbenko, V. Popov, A Real-World Experiments Setup for Investigations of the Problem of Visual Landmarks Selection for Mobile Robots, Appl. Math. Sci. 6 (2012) 4767-4771.

Google Scholar

[12] P. Lamon, I. Nourbakhsh, B. Jensen, R. Siegwart, Deriving and matching image fingerprint sequences for mobile robot localization, in: IEEE International Conference on Robotics and Automation, IEEE Press, 2001, pp.1609-1614.

DOI: 10.1109/robot.2001.932841

Google Scholar