StEPS - Indoor visual navigation framework for mobile devices

Yael Landau, Revital Marbel, Boaz Ben-Moshe

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


This work presents a vision-based navigation system designed for Indoor localization. The suggested framework operates 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 smart-phones with relatively low energy consumption. Preliminary field experiments on Android smart-phones show that the expected 3D error is about 1 − 2 meters in most real-life scenarios.

Original languageEnglish
Pages (from-to)299-306
Number of pages8
JournalCEUR Workshop Proceedings
StatePublished - 2019
EventShort Paper of the 10th International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers, IPIN-WiP 2019 - Pisa, Italy
Duration: 30 Sep 20193 Oct 2019


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