Navigation and interaction in physical spaces using RFID enabled spatial sensing

Mehmood, Muhammad Atif; Kulik, Lars; Tanin, Egemen

doi:10.1145/1322263.1322304

Cited by 4 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A prototype implementation of an RFID based active environment has been demonstrated [14]. This prototype shows the viability of encoding spatial information using a rectangular deployment of passive RFID tags.…”

Section: Prototype Active Environmentmentioning

confidence: 97%

Autonomous navigation of mobile agents using RFID-enabled space partitions

Mehmood

Kulik

Tanin

2008

Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Prototype Active Environmentmentioning

confidence: 97%