STEPS: An Indoor Navigation Framework for Mobile Devices
This paper presents a vision-based navigation system designed for indoor localization. The suggested framework works as a standalone <inline-formula> <math display="inline"> <semantics> <mrow> <mn>3</mn> <mi>D</mi> </mrow> </semantic...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/14/3929 |
| Summary: | This paper presents a vision-based navigation system designed for indoor localization. The suggested framework works as a standalone <inline-formula> <math display="inline"> <semantics> <mrow> <mn>3</mn> <mi>D</mi> </mrow> </semantics> </math> </inline-formula> 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 <inline-formula> <math display="inline"> <semantics> <mrow> <mn>3</mn> <mi>D</mi> </mrow> </semantics> </math> </inline-formula> error is about 1–2 m in most real-life scenarios. |
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| ISSN: | 1424-8220 |