摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-研究人员详细介绍了机器人S中的新数据。根据NewsRx Journ Alists来自挪威特隆赫姆的新闻报道，研究表明，本研究全面回顾了目前海洋技术在水下考古和历史遗址的三维文献记录方面的最新进展。对最近的研究进行了全面的文献分析，特别强调了用于三维重建和制图的基于视觉的APPR Oaches。这项研究的财政支持来自挪威研究委员会。新闻记者从挪威科技大学(NTNU)的研究中获得一句话：“首先，通过在海洋考古研究中的应用，列出了不同的机器人平台、各种水下成像系统以及它们之间可能的组合。除了机器人视觉系统的配置，还对计算机视觉解决方案在图像处理、在线和离线重建方面的应用进行了全面的综述，”本文的最后一部分回顾了通过路径规划方法优化数据获取的策略,并重点介绍了在合成数据和仿真环境下如何提高真实作战的质量。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s. According to news reporting originating in Trondheim, Norway, by NewsRx journ alists, research stated, "This study provides a comprehensive review of the curr ent state of the art in marine technology as it pertains to the 3D documentation of underwater archaeological and historical sites. A thorough literature analys is of recent research is presented, with a special emphasis on vision-based appr oaches for 3D reconstruction and mapping." Financial support for this research came from Research Council of Norway. The news reporters obtained a quote from the research from the Norwegian Univers ity of Science and Technology (NTNU), "First, the paper lists different robotic platforms, various underwater imaging systems and possible combinations among th em, through their use in marine archaeological research. In addition to robotic vision systems configurations, a thorough survey on computer vision solutions on image processing, online and offline reconstructions, for both simulation envir onments and real-world UCH scenarios, is given. The final part of the paper revi ews strategies for data acquisition optimization through path planning approache s and highlights how working on synthetic data and simulation environments can e nhance the quality of real-world operations."
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