Fuzzy distance sensor data integration and interpretation
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Other documents of the author: Falomir, Zoe; Castelló, Vicente; Escrig Monferrer, María Teresa; Peris Broch, Juan Carlos
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Fuzzy distance sensor data integration and interpretationAuthor (s)
Date
2011-08Publisher
World Scientific PublishingISSN
0218-4885; 1793-6411Bibliographic citation
International journal of uncertainty, fuzziness and knowledge-based systems (Aug. 2011), Vol. 19, no. 3, 499-528Type
info:eu-repo/semantics/articleSubject
Abstract
An approach to distance sensor data integration that obtains a robust interpretation of the robot environment is presented in this paper. This approach consists in obtaining patterns of fuzzy distance zones from sensor ... [+]
An approach to distance sensor data integration that obtains a robust interpretation of the robot environment is presented in this paper. This approach consists in obtaining patterns of fuzzy distance zones from sensor readings; comparing these patterns in order to detect non-working sensors; and integrating the patterns obtained by each kind of sensor in order to obtain a final pattern that detects obstacles of any sort. A dissimilarity measure between fuzzy sets has been defined and applied to this approach. Moreover, an algorithm to classify orientation reference systems (built by corners detected in the robot world) as open or closed is also presented. The final pattern of fuzzy distances, resulting from the integration process, is used to extract the important reference systems when a glass wall is included in the robot environment. Finally, our approach has been tested in an ActivMedia Pioneer 2 dx mobile robot using the Player/Stage as the control interface and promising results have been obtained [-]
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© 2011 World Scientific Publishing
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info:eu-repo/semantics/openAccess
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- ICC_Articles [430]