Sciweavers

Share
PERVASIVE
2007
Springer

TrackSense: Infrastructure Free Precise Indoor Positioning Using Projected Patterns

11 years 6 months ago
TrackSense: Infrastructure Free Precise Indoor Positioning Using Projected Patterns
While commercial solutions for precise indoor positioning exist, they are costly and require installation of additional infrastructure, which limits opportunities for widespread adoption. Inspired by robotics techniques of Simultaneous Localization and Mapping (SLAM) and computer vision approaches using structured light patterns, we propose a self-contained solution to precise indoor positioning that requires no additional environmental infrastructure. Evaluation of our prototype, called TrackSense, indicates that such a system can deliver up to 4 cm accuracy with 3 cm precision in rooms up to five meters squared, as well as 2 degree accuracy and 1 degree precision on orientation. We explain the design and performance characteristics of our prototype and demonstrate a feasible miniaturization that supports applications that require a single device localizing itself in a space. We also discuss extensions to locate multiple devices and limitations of this approach.
Moritz Köhler, Shwetak N. Patel, Jay Summet,
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where PERVASIVE
Authors Moritz Köhler, Shwetak N. Patel, Jay Summet, Erich P. Stuntebeck, Gregory D. Abowd
Comments (0)
books