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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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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