DocumentCode
3244850
Title
3D mapping in urban environment using geometric featured voxel
Author
Shim, Inwook ; Choe, Yungeun ; Chung, Myung Jin
Author_Institution
Robot. Program, KAIST, Daejeon, South Korea
fYear
2011
fDate
23-26 Nov. 2011
Firstpage
804
Lastpage
805
Abstract
In recent year, much progress has been made in outdoor 3D mapping. However, 3D mapping in real time is still a daunting challenge in urban environment. This paper addresses the problem of 3D mapping from 3D laser scans in urban environments in real time. To do this, we proposed geometric featured voxel which can efficiently represent 3D urban structure without loss of geometric properties. For evaluation of the proposed voxel, we use Oakland dataset.
Keywords
SLAM (robots); control engineering computing; optical scanners; 3D laser scans; 3D urban structure; Oakland dataset; geometric featured voxel; outdoor 3D mapping; urban environment; Electronic mail; Image color analysis; Real time systems; Robot kinematics; Three dimensional displays; Urban areas; Map representation; Semantic mapping; Voxel;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location
Incheon
Print_ISBN
978-1-4577-0722-3
Type
conf
DOI
10.1109/URAI.2011.6146025
Filename
6146025
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