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
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;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-61284-454-1
DOI :
10.1109/IROS.2011.6094971