DocumentCode
1867663
Title
The generation of environmental map based on a NDT grid mapping -Proposal of convergence calculation corresponding to high resolution grid-
Author
Kaminade, Takuya ; Takubo, Tomohito ; Mae, Yasushi ; Arai, Tatsuo
Author_Institution
Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka
fYear
2008
fDate
19-23 May 2008
Firstpage
1874
Lastpage
1879
Abstract
The paper presents a new convergence calculation method of the normal distributions transform (NDT) scan matching for high resolution grid map. The proposed method employs interactive closest point (ICP) algorithm to find corresponding point, even if the input scan points are in the outside of the reference grid area. It also enlarges the convergence area by modifying the eigenvalue of normal distribution so that the evaluation value can be driven effectively by all the pairing data for improving convergence speed. In the normal NDT scan matching algorithm, the grid size especially has much effect on the capability of convergence area and speed. Thus, it is difficult to generate the detailed map with small grids. The proposed convergence approach can solve the problem by the phased adjustment of convergence area. Experimental result shows the feasibility of the detailed environmental map generated by the NDT grid mapping.
Keywords
SLAM (robots); convergence; eigenvalues and eigenfunctions; mobile robots; robot vision; transforms; convergence calculation; eigenvalue; environmental map generation; grid mapping; interactive closest point algorithm; mobile robot; normal distributions transform scan matching; simultaneous localization and mapping; Convergence; Eigenvalues and eigenfunctions; Gaussian distribution; Iterative algorithms; Iterative closest point algorithm; Mesh generation; Robotics and automation; Robots; Simultaneous localization and mapping; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location
Pasadena, CA
ISSN
1050-4729
Print_ISBN
978-1-4244-1646-2
Electronic_ISBN
1050-4729
Type
conf
DOI
10.1109/ROBOT.2008.4543480
Filename
4543480
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