An Indoor Navigation System Based on Stereo Camera and Inertial Sensors with Points and Lines

An indoor navigation system based on stereo camera and inertial sensors with points and lines is proposed to further improve the accuracy and robustness of the navigation system in complex indoor environments. The point and line features, which are fast extracted by ORB method and line segment detec...

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Main Authors: Bo Yang, Xiaosu Xu, Tao Zhang, Yao Li, Jinwu Tong
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2018/4801584
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spelling doaj-df0a5a09fa4c4b9eb9e154215386f4f02020-11-25T01:56:01ZengHindawi LimitedJournal of Sensors1687-725X1687-72682018-01-01201810.1155/2018/48015844801584An Indoor Navigation System Based on Stereo Camera and Inertial Sensors with Points and LinesBo Yang0Xiaosu Xu1Tao Zhang2Yao Li3Jinwu Tong4Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaKey Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaKey Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaKey Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaKey Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaAn indoor navigation system based on stereo camera and inertial sensors with points and lines is proposed to further improve the accuracy and robustness of the navigation system in complex indoor environments. The point and line features, which are fast extracted by ORB method and line segment detector (LSD) method, are both employed in this system to improve its ability to adapt to complex environments. In addition, two different representations of lines are adopted to improve the efficiency of the system. Besides stereo camera, an inertial measurement unit (IMU) is also used in the system to further improve its accuracy and robustness. An estimator is designed to integrate the camera and IMU measurements in a tightly coupled approach. The experimental results show that the performance of the proposed navigation system is better than the point-only VINS and the vision-only navigation system with points and lines.http://dx.doi.org/10.1155/2018/4801584
collection DOAJ
language English
format Article
sources DOAJ
author Bo Yang
Xiaosu Xu
Tao Zhang
Yao Li
Jinwu Tong
spellingShingle Bo Yang
Xiaosu Xu
Tao Zhang
Yao Li
Jinwu Tong
An Indoor Navigation System Based on Stereo Camera and Inertial Sensors with Points and Lines
Journal of Sensors
author_facet Bo Yang
Xiaosu Xu
Tao Zhang
Yao Li
Jinwu Tong
author_sort Bo Yang
title An Indoor Navigation System Based on Stereo Camera and Inertial Sensors with Points and Lines
title_short An Indoor Navigation System Based on Stereo Camera and Inertial Sensors with Points and Lines
title_full An Indoor Navigation System Based on Stereo Camera and Inertial Sensors with Points and Lines
title_fullStr An Indoor Navigation System Based on Stereo Camera and Inertial Sensors with Points and Lines
title_full_unstemmed An Indoor Navigation System Based on Stereo Camera and Inertial Sensors with Points and Lines
title_sort indoor navigation system based on stereo camera and inertial sensors with points and lines
publisher Hindawi Limited
series Journal of Sensors
issn 1687-725X
1687-7268
publishDate 2018-01-01
description An indoor navigation system based on stereo camera and inertial sensors with points and lines is proposed to further improve the accuracy and robustness of the navigation system in complex indoor environments. The point and line features, which are fast extracted by ORB method and line segment detector (LSD) method, are both employed in this system to improve its ability to adapt to complex environments. In addition, two different representations of lines are adopted to improve the efficiency of the system. Besides stereo camera, an inertial measurement unit (IMU) is also used in the system to further improve its accuracy and robustness. An estimator is designed to integrate the camera and IMU measurements in a tightly coupled approach. The experimental results show that the performance of the proposed navigation system is better than the point-only VINS and the vision-only navigation system with points and lines.
url http://dx.doi.org/10.1155/2018/4801584
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