DocumentCode
3416728
Title
A systems approach to data fusion
Author
Kerrow, Phillip John M ; Volk, Sandra Joy
Author_Institution
Dept. of Comput. Sci., Wollongong Univ., NSW, Australia
fYear
1996
fDate
21-22 Nov 1996
Firstpage
217
Lastpage
222
Abstract
Data fusion is the process of combining signals from several sensors into a single world view. A four-level software architecture provides a generalised framework for designing data fusion systems. Important issues in data fusion are feature extraction, closure criteria, paradigm shifts between levels, error correction and knowledge engineering. Each of these is discussed in the context of a data fusion system for ultrasonic mapping with a mobile robot
Keywords
distance measurement; feature extraction; mobile robots; sensor fusion; software engineering; ultrasonic transducers; closure criteria; data fusion; error correction; feature extraction; four-level software architecture; knowledge engineering; mobile robot; paradigm shifts; systems approach; ultrasonic mapping; Acoustic sensors; Computer architecture; Computer science; Mobile robots; Robot kinematics; Robot sensing systems; Sensor fusion; Sensor systems; Signal processing; Software architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Fusion Symposium, 1996. ADFS '96., First Australian
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-3601-1
Type
conf
DOI
10.1109/ADFS.1996.581109
Filename
581109
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