Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

SINS and Dual Odometers Based on Integrated Navigation System

Authors
Shun Zhu, Xiaonian Wang, Zhuping Wang, Jin Zhu
Corresponding Author
Shun Zhu
Available Online July 2015.
DOI
https://doi.org/10.2991/lemcs-15.2015.189How to use a DOI?
Keywords
SINS; Dual Odometers; Integrated Navigation System; Kalman Filter
Abstract
The strapdown inertial navigation system is being broadly applied for land vehicle positioning and navigation because of its complete autonomy. To restrain the positioning error accumulation along with time of SINS more effectively and achieve higher precision of navigation, a method of the dual odometers assisting SINS to obtain more accurate velocity and direction angle information is presented in this paper. Based on the establishment of the error state and observation model of SINS and dual odometers based integrated navigation system, the general and feasible Kalman filtering algorithm is listed correspondingly. The SINS/dual odometers integrated navigation method was validated by a comparison experiment among the single SINS system, SINS/OD integrated navigation system and SINS/dual OD based integrated navigation system, the results of which examines the high performance and indicates the superiority of the proposed method.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-6252-102-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-15.2015.189How 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  - Shun Zhu
AU  - Xiaonian Wang
AU  - Zhuping Wang
AU  - Jin Zhu
PY  - 2015/07
DA  - 2015/07
TI  - SINS and Dual Odometers Based on Integrated Navigation System
BT  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015)
PB  - Atlantis Press
SP  - 957
EP  - 961
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.189
DO  - https://doi.org/10.2991/lemcs-15.2015.189
ID  - Zhu2015/07
ER  -