Collaborative Research: Automated Large Scale Bathymetric Mapping in Complex Environments

协作研究：复杂环境中的自动化大规模测深测绘

• 批准号: 1029533
• 负责人: Dana Yoerger
• 金额: $ 7.45万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1029533&HistoricalAwards=false
• 关键词: Collaborative; Research; Automated; Large; Scale

Mapping the seafloor is a basic first step for much oceanographic research. Autonomous Underwater Vehicles (AUVs) equipped with multibeam sonar systems have launched a revolution in ocean science and exploration because these platforms a both stable and efficient; they have been used for a host of applications from mapping sand ripples and seamounts to sea ice. However, producing accurate large scale maps from the AUV data is still a highly expert labor intensive activity. The objective of this project is to develop computer program to enable rapis and efficient production of bathymetric maps from AUV data. The chief broader impact of this work is that it will provide dramatically improved tools for mapping the seafloor using AUVs for the entire oceanographic community.

绘制海底地图是许多海洋学研究的基本第一步。配备多波束声纳系统的自主水下航行器（AUV）在海洋科学和探索领域掀起了一场革命，因为这些平台既稳定又高效;它们已被用于从测绘沙纹和海山到海冰的许多应用。然而，根据AUV数据制作精确的大比例尺地图仍然是一项高度专业化的劳动密集型活动。该项目的目标是开发计算机程序，以便能够根据自主式水下航行器数据快速有效地制作测深图。这项工作的主要广泛影响是，它将为整个海洋学界提供使用自动潜航器绘制海底图的显著改进的工具。