Abstract
This paper presents a vision-based navigation system designed for indoor localization. The suggested framework works as a standalone 3D positioning system by fusing a sophisticated optical-flow pedometry with map constrains using an advanced particle filter. The presented method requires no personal calibration and works on standard smartphones with relatively low energy consumption. Field experiments on Android smartphones show that the expected 3D error is about 1–2 m in most real-life scenarios.
| Original language | English |
|---|---|
| Article number | 3929 |
| Pages (from-to) | 1-22 |
| Number of pages | 22 |
| Journal | Sensors (Switzerland) |
| Volume | 20 |
| Issue number | 14 |
| DOIs | |
| State | Published - 2 Jul 2020 |
| Externally published | Yes |
Keywords
- Android indoor position
- Indoor localization
- Particle filter
- Sensor fusion
ASJC Scopus subject areas
- Analytical Chemistry
- Information Systems
- Biochemistry
- Atomic and Molecular Physics, and Optics
- Instrumentation
- Electrical and Electronic Engineering
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