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Elastic correction of dead-reckoning errors in map building (1998)
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| Venue: | In Intl. Conf. on Intelligent Robots and Systems |
| Citations: | 37 - 1 self |
BibTeX
@INPROCEEDINGS{Golfarelli98elasticcorrection,
author = {Matteo Golfarelli and Dario Maio and Stefano Rizzi},
title = {Elastic correction of dead-reckoning errors in map building},
booktitle = {In Intl. Conf. on Intelligent Robots and Systems},
year = {1998},
pages = {905--911}
}
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Abstract
Abstract—Map building is an important issue for all the applications in mobile robotics in which the environment is unknown and, in general, in order to have a robot exhibit a fully autonomous behavior. A major problem in map building is due to the imprecision of sensor measures. In this paper, we propose a technique, called elastic correction, for correcting the dead-reckoning errors made during the exploration of an environment by a robot capable of identifying landmarks. Knowledge being acquired is modeled by a relational graph whose vertices and arcs represent, respectively, landmarks and routes. Elastic correction is based on an analogy between the graph modeling the environment and a mechanical structure: the map is regarded as a truss where each route is an elastic bar and each landmark a node. Errors are corrected as a result of the deformations induced from the forces arising within the structure as inconsistent measures are taken. The elasticity parameters characterizing the structure are used to model the uncertainty on odometry. The paper presents results from simulations showing the effectiveness of the method for reducing the overall metric error and proving its robustness with reference to topological errors and to unpredictable sensor errors. Index Terms—Error correction, mobile robotics, odometry. I.
Keyphrases
elastic correction map building dead-reckoning error mobile robotics topological error mechanical structure overall metric error abstract map building autonomous behavior sensor measure robot exhibit index term error correction important issue unpredictable sensor error arc represent elastic bar relational graph inconsistent measure elasticity parameter major problem
