TrackSense: Infrastructure Free Precise Indoor Positioning Using Projected Patterns
| العنوان: | TrackSense: Infrastructure Free Precise Indoor Positioning Using Projected Patterns |
|---|---|
| المؤلفون: | Jay W. Summet, Erich P. Stuntebeck, Shwetak N. Patel, Moritz Köhler, Gregory D. Abowd |
| المصدر: | Lecture Notes in Computer Science ISBN: 9783540720362 Pervasive |
| بيانات النشر: | Springer Berlin Heidelberg, 2007. |
| سنة النشر: | 2007 |
| مصطلحات موضوعية: | Orientation (computer vision), business.industry, Computer science, Real-time computing, Robotics, Simultaneous localization and mapping, Stereopsis, Embedded system, Miniaturization, Environmental Infrastructure, Augmented reality, Artificial intelligence, business, Structured light |
| الوصف: | 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. |
| ردمك: | 978-3-540-72036-2 |
| DOI: | 10.1007/978-3-540-72037-9_20 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::0f04c4f73768e3cdadb8e0c4944334e1 https://doi.org/10.1007/978-3-540-72037-9_20 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi...........0f04c4f73768e3cdadb8e0c4944334e1 |
| قاعدة البيانات: | OpenAIRE |
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