Research on EKF-Based Localization Method of Tracked Mobile Robot
- 10.2991/iccia-17.2017.98How to use a DOI?
- Mobile robot , position ,heading angle ,Extended Kalman Filtering , Odometry
To estimate the position and heading angle of mobile robot precisely, an measurement variable estimation model was proposed to adapt any angle. Fusing the predictive value of odometry and measurement data of multiple sensors by the Extended Kalman Filtering (EKF) for reducing the accumulative error by using only traditional odometry. The proposed models is verified by Matlab simulation and experimental results.
- © 2017, 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 - Junsuo Qu AU - Qipeng Zhang AU - Leichao Hou AU - Ruijun Zhang AU - Kaiming Ting PY - 2016/07 DA - 2016/07 TI - Research on EKF-Based Localization Method of Tracked Mobile Robot BT - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017) PB - Atlantis Press SP - 582 EP - 587 SN - 2352-538X UR - https://doi.org/10.2991/iccia-17.2017.98 DO - 10.2991/iccia-17.2017.98 ID - Qu2016/07 ER -