A probabilistic approach to Hough Localization

被引：0

作者：

Iocchi, L ^{[1
]}

Mastrantuono, D ^{[1
]}

Nardi, D ^{[1
]}

机构：

[1] Univ Roma La Sapienza, Dipartimento Informat & Sistemist, Rome, Italy

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：

Autonomous navigation for mobile robots performing complex tasks over long periods of time requires effective and robust self-localization techniques. In this paper we describe a probabilistic approach to self-localization that integrates Kalman filtering with map matching based on the Hough Transform. Several systematic experiments for evaluating the approach have been performed both on a simulator and on soccer robots embedded in the RoboCup environment.

引用

页码：4250 / 4255

页数：6

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