Research on Vehicle Dynamic Location Algorithm Based on Interactive Multi Model

DOI

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/).

Download article (PDF)

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  - 10.2991/icence-16.2016.27
ID  - Zhang2016/09
ER  -