DocumentCode :
2552493
Title :
Mapping of multi-floor buildings: A barometric approach
Author :
Ozkil, Ali Gurcan ; Fan, Zhun ; Xiao, Jizhong ; Dawids, Steen ; Kristensen, Jens Klæstrup ; Christensen, Kim Hardam
Author_Institution :
Technical University of Denmark, Copenhagen, Denmark
fYear :
2011
fDate :
25-30 Sept. 2011
Firstpage :
847
Lastpage :
852
Abstract :
This paper presents a new method for mapping multi-floor buildings. The method combines laser range sensor for metric mapping and barometric pressure sensor for detecting floor transitions and map segmentation. We exploit the fact that the barometric pressure is a function of the elevation, and it varies between different floors. The method is tested with a real robot in a typical indoor environment, and the results show that physically consistent multi5floor representations are achievable.
Keywords :
Educational institutions; Floors; Measurement; Simultaneous localization and mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
Conference_Location :
San Francisco, CA
ISSN :
2153-0858
Print_ISBN :
978-1-61284-454-1
Type :
conf
DOI :
10.1109/IROS.2011.6094971
Filename :
6094971
Link To Document :
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