TY - GEN
T1 - Sensor fusion based fuzzy rules learning for humanitarian mine detection
AU - Zyada, Zakarya
AU - Kawai, Yasuhiro
AU - Matsuno, Takayuki
AU - Fukuda, Toshio
PY - 2006/12/1
Y1 - 2006/12/1
N2 - In this paper, a sensor fusion based fuzzy rules for humanitarian demining are presented. A fuzzy learning algorithm for extracting fuzzy fusion rules from experimental data of robot-manipulated ground penetrating radar (GPR) and metal detector (MD) is presented. The inputs to the fuzzy learning algorithm are features extracted from both a GPR and an MD while its output is a set of fuzzy rules. Applying the learnt fuzzy fusion rules and knowing GPR and the MD features of a given scan, it is possible to decide if there is a land mine and its approximate depth underground. The features chosen for this fusion algorithm are the peak amplitude of a processed GPR output signal and the peak value of the cumulative sum of amplitudes of MD output signal for the same scanned area. Experimental test results are presented for verifying the validity of the proposed learnt fuzzy fusion rule base.
AB - In this paper, a sensor fusion based fuzzy rules for humanitarian demining are presented. A fuzzy learning algorithm for extracting fuzzy fusion rules from experimental data of robot-manipulated ground penetrating radar (GPR) and metal detector (MD) is presented. The inputs to the fuzzy learning algorithm are features extracted from both a GPR and an MD while its output is a set of fuzzy rules. Applying the learnt fuzzy fusion rules and knowing GPR and the MD features of a given scan, it is possible to decide if there is a land mine and its approximate depth underground. The features chosen for this fusion algorithm are the peak amplitude of a processed GPR output signal and the peak value of the cumulative sum of amplitudes of MD output signal for the same scanned area. Experimental test results are presented for verifying the validity of the proposed learnt fuzzy fusion rule base.
KW - Fuzzy learning
KW - Humanitarian demining
KW - Sensor fusion
UR - http://www.scopus.com/inward/record.url?scp=34250700995&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34250700995&partnerID=8YFLogxK
U2 - 10.1109/SICE.2006.315804
DO - 10.1109/SICE.2006.315804
M3 - Conference contribution
AN - SCOPUS:34250700995
SN - 8995003855
SN - 9788995003855
T3 - 2006 SICE-ICASE International Joint Conference
SP - 1860
EP - 1865
BT - 2006 SICE-ICASE International Joint Conference
T2 - 2006 SICE-ICASE International Joint Conference
Y2 - 18 October 2006 through 21 October 2006
ER -