Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Design of the Vehicular SINS/OD Positioning Based on Locality-Aware Auxiliary

Authors
Si Chen, Qiyuan Zhong, Lilong Tan, Peng Wang, Yantao Zhang
Corresponding Author
Si Chen
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.12How to use a DOI?
Keywords
Navigation, RFID, Locality-Aware, SINS/OD, Positioning correction.
Abstract
In order to solve the problem of launching vehicles positioning and orientation technology when losing GPS aided,a navigation scheme based on radio frequency identification (RFID) to assist the SINS/odometer (OD) are proposed.A variety of ways to locate vehicle are designed based on RFID and the actual use of related problems are analyzed.And appliy it to the SINS/OD model, and then build the SINS/OD/RFID model. The model provides a new angle and new method of vehicle auxiliary position.Results show that the precision of the position scheme can reach meters, extend navigation time, meet the precision requirement, and improve the use efficiency
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecae-18.2018.12How 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  - Si Chen
AU  - Qiyuan Zhong
AU  - Lilong Tan
AU  - Peng Wang
AU  - Yantao Zhang
PY  - 2018/03
DA  - 2018/03
TI  - Design of the Vehicular SINS/OD Positioning Based on Locality-Aware Auxiliary
BT  - 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-18.2018.12
DO  - https://doi.org/10.2991/mecae-18.2018.12
ID  - Chen2018/03
ER  -