An Obstacle Recognizing Mechanism for Autonomous Underwater Vehicles Powered by Fuzzy Domain Ontology and Support Vector Machine

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 p...

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Veröffentlicht in:	Mathematical problems in engineering 2014-01, Vol.2014 (2014), p.1-10
Hauptverfasser:	Mi, Zhen-Shu, Bukhari, Ahmad C., Kim, Yong-Gi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autonomous navigation Autonomous underwater vehicles Back propagation Classification Experiments Fuzzy Fuzzy logic Fuzzy set theory Hybrid systems Knowledge acquisition Learning theory Machine learning Mathematical problems Neural networks Object recognition Obstacle avoidance Obstacles Ontology Performance evaluation Real time Recognition Support vector machines Theory
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