A research on an intelligent multipurpose fuzzy semantic enhanced 3D virtual reality simulator for complex maritime missions

作者:Ahmad C. Bukhari, Yong-Gi Kim

摘要

In this article, the idea of multipurpose fuzzy semantic enhanced 3D virtual reality simulator for the evaluation of maritime robot algorithms, and for the analysis of maritime missions is presented. The simulator uses the digital mockup technology in blending with semantic domain knowledge of the system, to analyze the tasks remotely. The 3D virtual reality (VR) is proposed to help the operators provide the detailed information and guidance during real-time tele-operations, and the incorporation of fuzzy semantic knowledge makes the virtual environment intelligent and automatic. The integration of fuzzy scene independent ontology with the virtual environment (VE) engenders a knowledge driven inter operable virtual environment which eases the user in natural language querying, personalization, interpretations and manipulation. The distinctive semantic VR scene builder utility of the proposed system draws the VR environment automatically while getting the high level specification of the system for the client. The proposed simulator can be effectively used for real-time robots trainings and for the evaluation of AI based algorithms designed for intelligent vessels and AUV’s without knowing the complex underlying VR scene building technologies. Furthermore, it provides the benefits to optimize the pre-process physical environment operations to mimic the real world into a virtual environment. The remote operations and feasibility analysis performed on virtual simulator can efficiently save the cost, time and claims to provide the operators a preprocessor information and guide.

论文关键词:Fuzzy semantic marine simulation, Semantic virtual reality, Automatic marine simulation, 3D VR simulation for autonomous vessel and AUV, Scene independent fuzzy ontology

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论文官网地址:https://doi.org/10.1007/s10489-012-0365-9