Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Design of Indoor Real-time Positioning on Embedded Platform

Authors
Xin Shu, Chang Liu, Haoyuan Cai, Tianyang Cao
Corresponding Author
Xin Shu
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.66How to use a DOI?
Keywords
Indoor Positioning, Embedded Platform, Inertial, Vision.
Abstract
Indoor positioning is becoming a very popular research direction in recent years. In this paper, we realize real-time trajectory calculation through the fusion of inertial and vision. We have two experiments in different environments and we find that the algorithm's error is below 50% of pure inertial at least. It means that the algorithm mentioned in this paper has a higher accuracy. Besides, we run this algorithm on an embedded platform built by ourselves. This platform is based on raspberry pi, which greatly reduces costs of indoor positioning. In this way, algorithm need not to be ran on the bulky computer.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecae-18.2018.66How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xin Shu
AU  - Chang Liu
AU  - Haoyuan Cai
AU  - Tianyang Cao
PY  - 2018/03
DA  - 2018/03
TI  - Design of Indoor Real-time Positioning on Embedded Platform
BT  - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.66
DO  - https://doi.org/10.2991/mecae-18.2018.66
ID  - Shu2018/03
ER  -