Complexity Study of Guaranteed State Estimation Applied to Robot Localization

被引：3
|
作者：
Seignez, Emmanuel [1 ]
Lambert, Alain [2 ]
机构：
[1] Ecole Super Ingenieurs Elect & Electrotech, 14 Quai Somme, F-80000 Amiens, France
[2] Ctr Univ Paris Sud, CNRS, Inst Elect Fondamentale, F-91405 Orsay, France
来源：
2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4 | 2008年
关键词：
FILTERS;
D O I：
10.1109/ICARCV.2008.4795552
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The estimation of a vehicle configuration in its environment is mostly solved by bayesian methods. Interval analysis allows an alternative approach: bounded-error localization. Such an approach provides a bounded set of configuration that is guaranteed to surround the actual vehicle configuration. This method is validated in real time through experimental results on a mobile robot in an indoor environment.
引用
收藏
页码：398 / +
页数：2
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