CONTINUOUS LOCALIZATION OF A MOBILE ROBOT BASED ON 3D-LASER-RANGE-DATA, PREDICTED SENSOR IMAGES, AND DEAD-RECKONING

被引:24
作者
HORN, J [1 ]
SCHMIDT, G [1 ]
机构
[1] TECH UNIV MUNICH,DEPT AUTOMAT CONTROL ENGN,D-80290 MUNICH,GERMANY
关键词
MOBILE ROBOT LOCALIZATION; STATISTICAL UNCERTAINTY EVOLUTION; SENSOR DATA FUSION; EXPERIMENTAL VALIDATION;
D O I
10.1016/0921-8890(94)00023-U
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article describes the localization system of a free-navigating mobile robot. Absolute position and orientation of the vehicle are determined by matching vertical planar surfaces extracted from a 3D-laser-range-image with corresponding surfaces predicted from a SD-environmental model. Continuous localization is achieved by fusing single-image localization and dead-reckoning data by means of a statistical uncertainty evolution technique. Extensive closed-loop experiments with the full-scale mobile robot MACROBE proved robustness, accuracy and real-time capability of this localization scheme.
引用
收藏
页码:99 / 118
页数:20
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