舰船目标智能化建模研究

    Research on intelligent modeling of ship target

    • 摘要: 随着海洋经济的发展以及国防现代化建设的需求,舰船设计与建造的速度与质量要求越来越高。传统的舰船建模方式耗时且依赖于人工经验,难以满足现代舰船设计中对于速度与精度的要求。随着计算机图形学、机器学习以及人工智能技术的进步,探索如何利用这些先进技术来提高舰船建模的效率与准确性成为了一项具有重要意义的研究课题。研究通过对现有技术的整合与创新,提出了一种新的舰船建模方案,该方案包括了外参标定、粗配准、ICP配准等关键技术环节,并且引入了先进的三维模型自动网格化技术。实验结果显示,该方案能够显著提高舰船建模的速度,与传统方法相比,效率提升了50%。此外,研究还展示了人工智能在处理复杂三维数据集方面的潜力,进一步证明了其在舰船设计中的应用价值。

       

      Abstract: With the development of the marine economy and the demands of national defense modernization, the speed and quality requirements for ship design and construction are becoming increasingly higher. Traditional ship modeling methods are time-consuming and heavily reliant on human expertise, making it difficult to meet the current demands for speed and precision in modern ship design. With advancements in computer graphics, machine learning, and artificial intelligence technologies, exploring how to utilize these advanced technologies to improve the efficiency and accuracy of ship modeling has become a significant research topic.This study, through the integration and innovation of existing technologies, proposes a new ship modeling solution. This solution encompasses key technical steps such as extrinsic calibration, coarse alignment, and ICP registration, along with the introduction of advanced automatic meshing technology for three-dimensional models. Experimental results show that this approach can significantly enhance the speed of ship modeling, improving efficiency by 50% compared to traditional methods. Additionally, this study demonstrates the potential of artificial intelligence in handling complex 3D datasets, further proving its application value in ship design.