Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)

Terrain Matching Based on Adaptive Digital Elevation Map

Authors
Bin Yan, Yiming Wang, Lun Feng, Hui Zhou, Zefeng Jiang
Corresponding Author
Bin Yan
Available Online March 2018.
DOI
https://doi.org/10.2991/acaai-18.2018.60How to use a DOI?
Keywords
SITAN; PF; scaling down; INS
Abstract

In order to improve the navigation precision of the classical sandia inertial terrain aided navigation (SITAN), replacing kalman filter (KF) with particle filter (PF) for nonlinear system, this paper modifies and compensates inertial navigation system (INS) by terrain matching. Moreover, this paper proposes an adaptive scaling method to improve the digital elevation map (DEM)'s precision of the region with distinct topographic features, and then improves the navigation precision.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-483-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/acaai-18.2018.60How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bin Yan
AU  - Yiming Wang
AU  - Lun Feng
AU  - Hui Zhou
AU  - Zefeng Jiang
PY  - 2018/03
DA  - 2018/03
TI  - Terrain Matching Based on Adaptive Digital Elevation Map
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 257
EP  - 260
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.60
DO  - https://doi.org/10.2991/acaai-18.2018.60
ID  - Yan2018/03
ER  -