DocumentCode :
3007704
Title :
A hybrid map representation for simultaneous localization and mapping of the internal ruins environment
Author :
Nan Wang ; Shugen Ma ; Bin Li ; Minghui Wang ; Mingyang Zhao
Author_Institution :
State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
fYear :
2013
fDate :
26-28 Aug. 2013
Firstpage :
1060
Lastpage :
1065
Abstract :
According to morphological characteristics in the interior of ruins after an earthquake disaster, a map representation technique for ruins environment is presented, and a corresponding simultaneous localization and mapping algorithm on the basis of hybrid map is proposed. Based on the topological metric hybrid map, the algorithm describes ruins environment at different levels. At global level, the topological map organizes the overall structure and also ensures the computing capability and ambient adaptability. Then, through building a local metric map at each topological node region, irregular obstacles formed by random seismic damage are described. Finally, experiments in an artificial ruins environment show that the algorithm can realize localization and mapping at the complicated environment.
Keywords :
SLAM (robots); cartography; control engineering computing; disasters; earthquakes; fracture; geographic information systems; robot vision; seismology; topology; ambient adaptability; artificial ruins environment; earthquake disaster; global level; hybrid map representation; internal ruins environment; irregular obstacles; local metric map; morphological characteristics; random seismic damage; simultaneous localization and mapping algorithm; topological metric hybrid map; topological node region; Accuracy; Buildings; Feature extraction; Measurement; Simultaneous localization and mapping; Surface morphology; hybrid map representation; ruins environment; simultaneous localization and mapping; topological map;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
Type :
conf
DOI :
10.1109/ICInfA.2013.6720452
Filename :
6720452
Link To Document :
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