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Autonomous navigation of mobile agents using RFID-enabled space partitions
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Geographic Information Systems archive
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems table of contents
Irvine, California
SESSION: Geo web table of contents
Article No. 21  
Year of Publication: 2008
ISBN:978-1-60558-323-5
Authors
Muhammad Atif Mehmood  University of Melbourne
Lars Kulik  University of Melbourne
Egemen Tanin  University of Melbourne
Sponsors
: Google
: Oak Ridge National Laboratory
: ESRI
Microsoft : Microsoft
Publisher
ACM  New York, NY, USA
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ABSTRACT

Existing techniques for autonomous indoor navigation are often environment-specific and thus limited in terms of their applicability. In this paper, we take a fundamentally different approach to indoor navigation and propose an active environment based navigation system. We argue that for a versatile navigation system the environment itself should provide spatial information. In our proposed approach, navigation is based on the concept of space partitions where the location of an agent is approximated by the closest partition. We show that Radio Frequency Identification (RFID) technology is a viable option for generating space partitions. We present a cost effective deployment strategy for passive RFID tags to construct a complete partitioning of the environment. A sparse deployment of tags leads to coarse partitioning, which in turn allows an agent to only approximate its position. We introduce a path planning algorithm that enables an agent reach its destination with a small overhead compared to the shortest path algorithm assuming precise information. Our experiments show that the deployment allows efficient path planning even under a large degree of imprecision.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Muhammad Atif Mehmood: colleagues
Lars Kulik: colleagues
Egemen Tanin: colleagues