Map building without odometry information

Francesco Amigoni, Simone Gasparini, Maria Gini

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

The map building methods usually employed by mobile robots are based on the assumption that an estimate of the position of the robot can be obtained from odometry readings. In this paper we propose three methods that build a geometrical global map by integrating partial maps without using any odometry information. We focus on the problem of integrating a sequence of partial maps that specifies the order in which the partial maps must be integrated. Experimental results show the effectiveness of our approach in different types of environments.

Original languageEnglish (US)
Pages (from-to)3753-3758
Number of pages6
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume2004
Issue number4
DOIs
StatePublished - 2004
EventProceedings- 2004 IEEE International Conference on Robotics and Automation - New Orleans, LA, United States
Duration: Apr 26 2004May 1 2004

Fingerprint Dive into the research topics of 'Map building without odometry information'. Together they form a unique fingerprint.

Cite this