Design of Indoor Real-time Positioning on Embedded Platform

DOI

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/mecae-18.2018.66
ID  - Shu2018/03
ER  -