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An Obstacle Recognizing Mechanism for Autonomous Underwater Vehicles Powered by Fuzzy Domain Ontology and Support Vector Machine
Joint Authors
Mi, Zhen-Shu
Bukhari, Ahmad C.
Kim, Yong-Gi
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The autonomous underwater vehicle (AUV) and the problems associated with its safe navigation have been studied for the last two decades.
The real-time underwater obstacle recognition procedure still has many complications associated with it and the issue becomes worse with vague sensor data.
These problems can be coped with the merger of a robust classification mechanism and a domain knowledge acquisition technique.
In this paper, we introduce a hybrid mechanism to recognize underwater obstacles for AUV based on fuzzy domain ontology and support vector machine (SVM).
SVM is an efficient algorithm that was developed for recognizing 3D object in recent years and is a new generation learning system based on recent advances in statistical learning theory.
The amalgamation of fuzzy domain ontology with SVM boosts the performance of the obstacle recognition module by providing the timely semantic domain information of the surrounding circumstances.
Also the reasoning ability of the fuzzy domain ontology can expedite the obstacle avoidance process.
In order to evaluate the performance of the system, we developed a prototype simulator based on OpenGL and VC++.
We compared the outcomes of our proposed technique with backpropagation algorithm and classic SVM based techniques.
American Psychological Association (APA)
Mi, Zhen-Shu& Bukhari, Ahmad C.& Kim, Yong-Gi. 2014. An Obstacle Recognizing Mechanism for Autonomous Underwater Vehicles Powered by Fuzzy Domain Ontology and Support Vector Machine. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-489692
Modern Language Association (MLA)
Mi, Zhen-Shu…[et al.]. An Obstacle Recognizing Mechanism for Autonomous Underwater Vehicles Powered by Fuzzy Domain Ontology and Support Vector Machine. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-489692
American Medical Association (AMA)
Mi, Zhen-Shu& Bukhari, Ahmad C.& Kim, Yong-Gi. An Obstacle Recognizing Mechanism for Autonomous Underwater Vehicles Powered by Fuzzy Domain Ontology and Support Vector Machine. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-489692
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489692