TY - GEN
T1 - Space recognition in multi-floor building environment
AU - Park, Susang
AU - Cho, Sungbae
AU - Kim, Youngouk
PY - 2012
Y1 - 2012
N2 - Space recognition is one of the essential techniques for service robot. The purpose of this paper is finding out where the floor is collect in similar structural multi-floor building environment. We propose space recognition which is dividing spaces to similar space group and distinct space group and give different weight to each group and calculate state probability. Because our algorithm contains prestate probability, it is robust for temporary recognition error. In order to evaluate our proposed method, we compared a method which is not applied weighted space recognition and a method which is applied weighted space method. The experiment result shows that our method is suitable for service robot in multi-floor building environment
AB - Space recognition is one of the essential techniques for service robot. The purpose of this paper is finding out where the floor is collect in similar structural multi-floor building environment. We propose space recognition which is dividing spaces to similar space group and distinct space group and give different weight to each group and calculate state probability. Because our algorithm contains prestate probability, it is robust for temporary recognition error. In order to evaluate our proposed method, we compared a method which is not applied weighted space recognition and a method which is applied weighted space method. The experiment result shows that our method is suitable for service robot in multi-floor building environment
UR - http://www.scopus.com/inward/record.url?scp=84874751602&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874751602&partnerID=8YFLogxK
U2 - 10.1109/URAI.2012.6463034
DO - 10.1109/URAI.2012.6463034
M3 - Conference contribution
AN - SCOPUS:84874751602
SN - 9781467331104
T3 - 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
SP - 439
EP - 441
BT - 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
T2 - 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2012
Y2 - 26 November 2012 through 29 November 2012
ER -