Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

Research on Vehicle Dynamic Location Algorithm Based on Interactive Multi Model

Authors
Guotong Zhang, Lei Shi, Jun Xu
Corresponding Author
Guotong Zhang
Available Online September 2016.
DOI
https://doi.org/10.2991/icence-16.2016.27How to use a DOI?
Keywords
Vehicle positioning, Dynamic filtering; Kalman filtering, Current statistical model (CSM).
Abstract

The vehicle positioning accuracy directly related to the dynamic model. For a single dynamic model, it is difficult to describe the state change of the vehicle movement precisely, so this paper proposes a composite model of GPS dynamic positioning system, and this paper designs a vehicle location and tracking algorithm by introducing the adaptive switching mechanism. Comparing the advantages and disadvantages of the Calman filter performance, this paper verifies the effectiveness of the algorithm.

Copyright
© 2016, 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 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-229-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icence-16.2016.27How to use a DOI?
Copyright
© 2016, 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  - Guotong Zhang
AU  - Lei Shi
AU  - Jun Xu
PY  - 2016/09
DA  - 2016/09
TI  - Research on Vehicle Dynamic Location Algorithm Based on Interactive Multi Model
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 128
EP  - 132
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.27
DO  - https://doi.org/10.2991/icence-16.2016.27
ID  - Zhang2016/09
ER  -