Abstract | ||
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This paper studies a single beacon-based three-dimensional multirobot localization (MRL) problem. Unlike most of existing localization algorithms which use extended Kalman filter or maximum a posteriori, moving horizon estimation (MHE), and convex optimization are novelly designed to perform MRL with constraints and unknown initial poses. The main contribution of this paper is three-fold: 1) a con... |
Year | DOI | Venue |
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2016 | 10.1109/TIE.2015.2499253 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Optimization,Robot sensing systems,Time measurement,Estimation,Algorithm design and analysis,Computational complexity | Mathematical optimization,Extended Kalman filter,Control theory,Pose,Fisher information,Maximum a posteriori estimation,Convex optimization,Semidefinite programming,Mathematics,Estimator,Computational complexity theory | Journal |
Volume | Issue | ISSN |
63 | 4 | 0278-0046 |
Citations | PageRank | References |
1 | 0.48 | 19 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sen Wang | 1 | 279 | 21.15 |
Dongbing Gu | 2 | 769 | 72.81 |
Ling Chen | 3 | 36 | 4.03 |
Huosheng Hu | 4 | 2009 | 220.95 |