Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane

Nguyen Quang Vinh

doi:doi:10.11648/j.sjams.20170502.13

| Peer-Reviewed

Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane

Nguyen Quang Vinh

Published in Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 2)

Received: 21 September 2016 Accepted: 10 February 2017 Published: 15 March 2017

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

In this article we propose a method of using the extended Kalman filter combined with an inertial navigation system and a camera to assist in determining the location and calculate the parameters of a helicopter. These observations are combined with an inertial measurement instrument which uses the Kalman filter to collect accurately and promptly information about the location of a plane. The algorithms is simulated on Simulink and hardened by using dsPIC33F256 chip.

Published in	Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 2)
DOI	10.11648/j.sjams.20170502.13
Page(s)	78-84
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Inertial Navigation Systems, Kalman, Helicopter

References

[1]	Oleg S.Salychev, “Inertial Systems in Navigation and Geophysics,” Bauman Moscow State Technical University, Russia, Moscow, 1998.
[2]	C. Krebs, “Generic IMU-camera calibration algorithm: Inﬂuence of IMU-axis on each other,” ETH Zrich, Tech. Rep., December 2012.
[3]	Weiguang, G., et al., “Application of adaptive Kalman filtering algorithm in IMU/GPS integrated navigation system”.Geo-spatial Information Science, 2007.
[4]	Nguyen Quang Vinh ."Statistic analysis of the self guidance precision with nonlinearities in the control circle" . //Automatization and modern technology, Moscow, 2006, Number 3, p.11-15 .
[5]	"Process and research on the method of guidance a maneuvering target with scholastic prediction about its motion and with nonlinearities in the control circle" (A report on the scientific researching work)/MSTU named after Bauman.The supervisor: Pupkov K. A. The executors: Nguyen Quang Vinh, Bobkov A.V., Ustiuzanin A.D. /Moscow, 2006, 75 pages.
[6]	Nguyen Duc Anh, Phan Tuong Lai, Nguyen Quang Vinh, (2015) “algorithm detection of fires in forests from the camera in the firefighting aircraft” Journal of Scientific Research and military technology, (6), Pp 12-35.
[7]	Nguyen Quang Vinh, …. A filter for onertia measure system IMU AHRS, Journal of Scientific Research and military technology, (21/2012), tr 7-14.
[8]	Nguyen Quang Vinh, Tran Duc Thuan,… Design, fabrication inertial navigation module with adjustment based sensors integrated microelectromechanical. Journal of Scientific Research and military technology 4/ 2014. Pp. 86-92.
[9]	Nguyen Quang Vinh, Truong Duy Trung,… Guidance, navigation and control of Autonomous underwater vehicle, International Symposium on Electrical-Electronics Engineering Viet Nam (ISEE2013) pp 44-49.
[10]	Nguyen Quang Vinh, INS/GPS integration system using street return algorithm and compass sensor, XII internation symposium Intelligent systems 2016, Moscow, Russia, 2016, p.475-483.

Cite This Article

Plain Text BibTeX RIS

APA Style

Nguyen Quang Vinh. (2017). Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane. Science Journal of Applied Mathematics and Statistics, 5(2), 78-84. https://doi.org/10.11648/j.sjams.20170502.13

Copy | Download

ACS Style

Nguyen Quang Vinh. Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane. Sci. J. Appl. Math. Stat. 2017, 5(2), 78-84. doi: 10.11648/j.sjams.20170502.13

Copy | Download

AMA Style

Nguyen Quang Vinh. Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane. Sci J Appl Math Stat. 2017;5(2):78-84. doi: 10.11648/j.sjams.20170502.13

Copy | Download

@article{10.11648/j.sjams.20170502.13,
  author = {Nguyen Quang Vinh},
  title = {Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {5},
  number = {2},
  pages = {78-84},
  doi = {10.11648/j.sjams.20170502.13},
  url = {https://doi.org/10.11648/j.sjams.20170502.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170502.13},
  abstract = {In this article we propose a method of using the extended Kalman filter combined with an inertial navigation system and a camera to assist in determining the location and calculate the parameters of a helicopter. These observations are combined with an inertial measurement instrument which uses the Kalman filter to collect accurately and promptly information about the location of a plane. The algorithms is simulated on Simulink and hardened by using dsPIC33F256 chip.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane
AU  - Nguyen Quang Vinh
Y1  - 2017/03/15
PY  - 2017
N1  - https://doi.org/10.11648/j.sjams.20170502.13
DO  - 10.11648/j.sjams.20170502.13
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 78
EP  - 84
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20170502.13
AB  - In this article we propose a method of using the extended Kalman filter combined with an inertial navigation system and a camera to assist in determining the location and calculate the parameters of a helicopter. These observations are combined with an inertial measurement instrument which uses the Kalman filter to collect accurately and promptly information about the location of a plane. The algorithms is simulated on Simulink and hardened by using dsPIC33F256 chip.
VL  - 5
IS  - 2
ER  -

Copy | Download

Author Information

Nguyen Quang Vinh

Department of Radio-Electronic, Institute of Science and Technology, Hoang sam, Cau Giay, Ha Noi, Viet Nam

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Nguyen Quang Vinh. (2017). Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane. Science Journal of Applied Mathematics and Statistics, 5(2), 78-84. https://doi.org/10.11648/j.sjams.20170502.13

Copy | Download

ACS Style

Nguyen Quang Vinh. Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane. Sci. J. Appl. Math. Stat. 2017, 5(2), 78-84. doi: 10.11648/j.sjams.20170502.13

Copy | Download

AMA Style

Nguyen Quang Vinh. Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane. Sci J Appl Math Stat. 2017;5(2):78-84. doi: 10.11648/j.sjams.20170502.13

Copy | Download

@article{10.11648/j.sjams.20170502.13,
  author = {Nguyen Quang Vinh},
  title = {Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {5},
  number = {2},
  pages = {78-84},
  doi = {10.11648/j.sjams.20170502.13},
  url = {https://doi.org/10.11648/j.sjams.20170502.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170502.13},
  abstract = {In this article we propose a method of using the extended Kalman filter combined with an inertial navigation system and a camera to assist in determining the location and calculate the parameters of a helicopter. These observations are combined with an inertial measurement instrument which uses the Kalman filter to collect accurately and promptly information about the location of a plane. The algorithms is simulated on Simulink and hardened by using dsPIC33F256 chip.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Combination of an Inertial Measurement Unit and a Camera for Defining the Position of an Airplane
AU  - Nguyen Quang Vinh
Y1  - 2017/03/15
PY  - 2017
N1  - https://doi.org/10.11648/j.sjams.20170502.13
DO  - 10.11648/j.sjams.20170502.13
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 78
EP  - 84
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20170502.13
AB  - In this article we propose a method of using the extended Kalman filter combined with an inertial navigation system and a camera to assist in determining the location and calculate the parameters of a helicopter. These observations are combined with an inertial measurement instrument which uses the Kalman filter to collect accurately and promptly information about the location of a plane. The algorithms is simulated on Simulink and hardened by using dsPIC33F256 chip.
VL  - 5
IS  - 2
ER  -

Copy | Download