TY - GEN
T1 - Multisensor data fusion
AU - Varshney, Pramod K.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.
PY - 2000
Y1 - 2000
N2 - Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of data fusion has always been around. In fact, all of us employ multisensor data fusion principles in our daily lives. The human brain is an excellent example of an operational fusion system that performs extremely well. It integrates sensory information, namely sight, sound, smell, taste and touch data and makes inferences regarding the problem at hand. It has been a natural desire of researchers in different disciplines of science and engineering to emulate this information fusion ability of the human brain. The idea is that fusion of complementary information available from different sensors will yield more accurate results for information processing problems. Significant advances in this important field have been made but perfect emulation of the human brain remains an elusive goal.
AB - Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of data fusion has always been around. In fact, all of us employ multisensor data fusion principles in our daily lives. The human brain is an excellent example of an operational fusion system that performs extremely well. It integrates sensory information, namely sight, sound, smell, taste and touch data and makes inferences regarding the problem at hand. It has been a natural desire of researchers in different disciplines of science and engineering to emulate this information fusion ability of the human brain. The idea is that fusion of complementary information available from different sensors will yield more accurate results for information processing problems. Significant advances in this important field have been made but perfect emulation of the human brain remains an elusive goal.
UR - http://www.scopus.com/inward/record.url?scp=84907558350&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907558350&partnerID=8YFLogxK
U2 - 10.1007/3-540-45049-1_1
DO - 10.1007/3-540-45049-1_1
M3 - Conference contribution
AN - SCOPUS:84907558350
SN - 3540676899
SN - 9783540450498
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 3
BT - Intelligent Problem Solving
A2 - Logananthara, Rasiah
A2 - Ali, Moonis
A2 - Palm, Gunther
PB - Springer Verlag
T2 - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000
Y2 - 19 June 2000 through 22 June 2000
ER -