Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/54907
Title: Integration of enhanced adaptive fuzzy clustering algorithm with probabilistic technique for dynamic map building
Authors: Ip, YL
Rad, AB
Chow, KM
Wong, YK 
Keywords: Fuzzy clustering
Autonomous mobile robots
Map building
Issue Date: 2002
Publisher: Springer
Source: In R Roy, MK Diplom-Phys, S Ovaska, T Furuhashi & F Hoffmann (Eds.), Soft computing and industry : recent applications, p. 269-280. London ; New York: Springer, 2002 How to cite?
Abstract: This paper addresses the problem of incremental and on-line learning of indoor dynamic environments by mobile robots. The proposed method further improves the Enhanced Adaptive Fuzzy Clustering (EAFC) algorithm for segment detection by using probabilistic techniques. In this study, the environment boundaries is extracted by the AFC algorithm and the probabilistic technique is used to estimate and update the state of dynamic objects in the mobile robot workplace. The method has been implemented and tested in a Pioneer II mobile robot.
URI: http://hdl.handle.net/10397/54907
ISBN: 1852335394 (alk. paper)
DOI: 10.1007/978-1-4471-0123-9_23
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