Building the Panoramic Image for Mobile Robot Localization

2013 ◽  
Vol 365-366 ◽  
pp. 967-970 ◽  
Author(s):  
Vladimir Popov ◽  
Anna Gorbenko
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
String Matching ◽  
Mobile Robot Navigation ◽  
Robot Localization ◽  
Panoramic Image ◽  
High Quality ◽  
Visual Landmarks ◽  
One Dimensional ◽  
Mobile Robot Localization

Visual landmarks are extensively used in contemporary robotics. There are a large number of different systems of visual landmarks. In particular, fingerprints give us unique identifiers for visually distinct locations by recovering statistically significant features. Therefore, fingerprints can be used as visual landmarks for mobile robot navigation. To create fingerprints we need one-dimensional color panoramas of high quality. In this paper, we consider a method for building the panoramic image using string matching algorithms. In particular, we propose the shortest common ordered supersequence problem.

The Problem of Selection of Fingerprints for Topological Localization

2013 ◽  
Vol 365-366 ◽  
pp. 946-949 ◽  
Author(s):  
Vladimir Popov
Keyword(s):  
Mobile Robot ◽  
Hamming Distance ◽  
Robot Navigation ◽  
Automatic Generation ◽  
Visual Navigation ◽  
Mobile Robot Navigation ◽  
Visual Landmarks ◽  
One Dimensional ◽  
Topological Localization ◽  
Selection Of

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.

scholarly journals LEARNING VISUAL LANDMARKS FOR MOBILE ROBOT NAVIGATION

2002 ◽  
Vol 35 (1) ◽  
pp. 445-450 ◽  
Author(s):  
M. Mata ◽  
J.M. Armingol ◽  
A. de la Escalera ◽  
M.A. Salichs
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Visual Landmarks

3-D Scan Matching for Mobile Robot Localization over Rough Terrain

2019 ◽  
Vol 139 (9) ◽  
pp. 1041-1050
Author(s):  
Hiroyuki Nakagomi ◽  
Yoshihiro Fuse ◽  
Hidehiko Hosaka ◽  
Hironaga Miyamoto ◽  
Takashi Nakamura ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Rough Terrain ◽  
Robot Localization ◽  
Scan Matching ◽  
Mobile Robot Localization
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