The Location Stack - combinatins tags

The Location Stack - combinatins tags

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The Location Stack 

Jeffrey Hightower, Dieter Fox, and Gaetano Borriello 

UW-CSE-03-07-01 

University of Washington 

Computer Science and Engineering 

Box 352350 

Seattle, WA 98195 

Section 2 presents the Location Stack abstractions. Section 3 then describes 

our publicly available implementation. We implement the bottom four abstrac- 

tion layers and are engaged in active collaborations to develop the remaining two. 

In this paper, we give particular emphasis to our Fusion layer’s use of Bayesian

filter techniques, more specifically, particle filters and multi-hypothesis track- 

ing to estimate location in real multi-sensor environments. Our implementation 

supports many location sensor technologies including infrared proximity badges, 

passive RFID tags, ultrasound ranging tags, active radio proximity tags, global 

positioning system receivers, infrared laser range-finders, 802.11b wireless clients, 

and, more importantly, any combination of these. Our architecture consists of 

scalable distributed services communicating with asynchronous XML messages 

and remote procedure calls, similar to many modern ubiquitous computing sys- 

tems. Finally, Section 6 concludes with a discussion of the current state of our 

work and its future directions. 

http://seattle.intel-research.net/people/jhightower/pubs/hightower2003locstack/hightower2003locstack.pdf

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2009-10-05 19:22