Title:
Fusion Channels: A Multi-sensor Data Fusion Architecture
Fusion Channels: A Multi-sensor Data Fusion Architecture
Author(s)
Agarwalla, Bikash
Hutto, Phillip W.
Paul, Arnab
Ramachandran, Umakishore
Hutto, Phillip W.
Paul, Arnab
Ramachandran, Umakishore
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Abstract
Due to the falling price and availability of sensors, information capture
and processing at a realtime or soft realtime rate is emerging as a
dominating application space. This class includes interactive multimedia,
robotics, security and surveillance applications and many more. A common
denominator of these applications is fusion of data gathered by various sensors
and data aggregators. In this paper we propose a Data Fusion architecture,
specifically geared toward such multi-sensor data fusion applications and
report on the prototype we have built. Our infrastructure provides a
programming abstraction that offers programming ease, at the same time provides
built-in optimizations that are quite complicated to implement from scratch. We
show the ease of programming through two sample applications and also
demonstrate through various experiments that our system has low overhead and
offers better performance compared to otherwise naively written fusion routines.
We also demonstrate improved scalability.
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Date Issued
2002
Extent
223179 bytes
Resource Type
Text
Resource Subtype
Technical Report