Review of SLAM Data Association Study

DOI

10.2991/icsnce-16.2016.4How to use a DOI?

Keywords

Robot; Simultaneous localization and map building; Data association; Sensors

Abstract

Simultaneous localization and map building (SLAM) is a key problem for an intelligent robot to accomplish autonomous navigation. And the results of data association are of key importance to the success of the SLAM. In this study, two bottleneck issues constraining SLAM data association are discussed in detail. One issue is the filtering data association of SLAM, the other issue is the loop closure of SLAM. The research status of the two issues is explained in detail. On this basis, the inadequacies of existing research are pointed out. And some advices for future research are provided. The work of this paper is of a certain reference value for both comparison of existing data association studies in SLAM and future intensive SLAM research.

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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TY  - CONF
AU  - Wu Zhou
AU  - Shiju E.
AU  - Zhenxin Cao
AU  - Ying Dong
PY  - 2016/07
DA  - 2016/07
TI  - Review of SLAM Data Association Study
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 14
EP  - 19
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.4
DO  - 10.2991/icsnce-16.2016.4
ID  - Zhou2016/07
ER  -