Research on Vehicle Dynamic Location Algorithm Based on Interactive Multi Model
- https://doi.org/10.2991/icence-16.2016.27How to use a DOI?
- Vehicle positioning, Dynamic filtering; Kalman filtering, Current statistical model (CSM).
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.
- © 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 -