Estimating consistency of geometric world models through observation of a localization process

被引：0

作者：

Pavlin, G ^{[1
]}

Braunstingl, R ^{[1
]}

机构：

[1] Graz Univ Technol, Dept Gen Mech, A-8010 Graz, Austria

来源：

2001 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS | 2001年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present the Geometric Consistency Filter, a new approach to extraction of spatial information in the context of the navigation for autonomous mobile robots. Geometric Consistency Filter can detect a significant portion of local inconsistencies in geometric world models, which result from partially dynamic environments and a limited resolution of the sensing systems. Belief about consistency of portions of the world model is based on incremental fusion of evidence, which is obtained through analysis of the localization process. presented experiments demonstrate how the estimation of consistency can be useful for robust localization and updating of world models in dynamic environments.

引用

页码：1961 / 1967

页数：7

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