TY - JOUR
T1 - StEPS - Indoor visual navigation framework for mobile devices
AU - Landau, Yael
AU - Marbel, Revital
AU - Ben-Moshe, Boaz
N1 - Publisher Copyright:
© 2019 CEUR Workshop Proceedings. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85075637345&partnerID=8YFLogxK
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AN - SCOPUS:85075637345
SN - 1613-0073
VL - 2498
SP - 299
EP - 306
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - Short Paper of the 10th International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers, IPIN-WiP 2019
Y2 - 30 September 2019 through 3 October 2019
ER -