Return
iFrame: Dynamic indoor map construction through automatic mobile sensing
DOI:10.1016/j.pmcj.2016.12.008.png)
Abstract
En 中文
Many pervasive computing applications depend upon maps for support of location based services. Individuals can determine their location outdoors on these maps via GPS. Indoor pervasive applications may also need to know the layout of buildings, however indoor maps are less prevalent. This paper presents iFrame, a dynamic approach that leverages existing mobile sensing capabilities for constructing indoor floor plans. We explore how iFrame users may collaborate and contribute to constructing 2-dimensional indoor maps by merely carrying smartphones. A deployment study shows iFrame is an unattended approach that provides a skeleton map of a real building effectively and automatically. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Indoor map construction
Smartphone
Mobile sensing
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.5
Papers:
1.5K
Citations:
2.2K

