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
收藏
页码：4250 / 4255
页数：6
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