EPSRC Reference: |
GR/S77097/01 |
Title: |
Relative Positioning of Mobile Objects |
Principal Investigator: |
Gellersen, Professor H |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Computing & Communications |
Organisation: |
Lancaster University |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 January 2004 |
Ends: |
30 September 2007 |
Value (£): |
342,658
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EPSRC Research Topic Classifications: |
Instrumentation Eng. & Dev. |
Mobile Computing |
Networks & Distributed Systems |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
Describe the proposed research using (about 200) words geared to the non-specialist reader.Research interest in systems that are responsive to position and spatial arrangement of mobile entities has been greatly accelerated by the emergence of mobile computing system and the ubiquitous computing paradigm. Positioning systems have come to be regarded as key enabling technology in these areas, for example to make mobile system components locatable by applications and users, and to enable location- and context-aware services.Most approaches to date rely on externally deployed infrastructure to provide mobile systems with position information - with the disadvantage that applications remain reliant on appropriately augmented environments. This project, in contrast, investigates relative positioning of mobile objects independent of infrastructure. We assume a system environment composed of a variable number of such objects, augmented with embedded devices to signal and observe each other, and to collectively determine relative positions and overall spatial arrangement.We will study methods and develop system implementations for relative positioning in the context of two different application areas. The first one concerns surface-based systems that use spatial layout of objects on planar surfaces as system input, with the aim to demonstrate novel interfaces and applications for instance in collaborative work settings. The sceond area is indoor object tracking, with the aim to demonstrate positioning in unprepared environments with significantly reduced deployment cost in comparison to infrastructure-based indoor positioning systems.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.lancs.ac.uk |