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
Link To Document :
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