SBIR Phase I: Novel Algorithms for Automated 3D Building Models and 3D Street Maps

SBIR 第一阶段：自动化 3D 建筑模型和 3D 街道地图的新颖算法

• 批准号: 1113653
• 负责人: Kevin Williams
• 金额: $ 14.89万
• 依托单位: ClearEdge3D
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1113653&HistoricalAwards=false
• 关键词: SBIR; Phase; Novel; Algorithms; Automated

This Small Business Innovation Research (SBIR) Phase I project proposes to automate the creation of digital 3D building models and 3D street maps used in the personal navigation, architecture, engineering, defense and homeland security markets. It currently requires hundreds of hours to create a 3D model of an average city building or streetscape using a tripod-mounted or vehicle-mounted laser scanner and available CAD software. This research will potentially reduce that time significantly. Automated 3D modeling has been a primary goal of the CAD industry for a generation. The problem can be divided into two separate challenges: 1) identifying and extracting observed surfaces, and 2) subsequently extending those surfaces automatically to form a solid 3D model. The proposed research involves developing algorithms to extrapolate observed building surfaces and extend them to correctly intersect other surfaces, completing the solid 3D model entirely automatically.The potential to create highly accurate 3D building models and 3D street maps in minutes will enable cost-effective modeling of entire cities. Accurate 3D city models made widely available to the public has the potential to have a profound impact on the mapping and personal navigation markets as well as commercial architecture, engineering projects, virtual tourism and first responder effectiveness. In the Architecture, Engineering and Construction (AEC) market alone, firms spend nearly $800 million per year on manually creating 3D building models. The proposed effort will not replace the existing CAD programs; rather, it will work with CAD programs to remove the tedious and expensive manual steps of model creation from vehicle-mounted and tripod-mounted laser scanners. If successfully developed, the commercial potential of automated high-definition 3D building models and 3D street maps is significant.

这个小型企业创新研究（SBIR）第一阶段项目旨在自动创建用于个人导航，建筑，工程，国防和国土安全市场的数字3D建筑模型和3D街道地图。目前，使用三脚架或车载激光扫描仪和可用的CAD软件创建一个普通城市建筑或街景的3D模型需要数百个小时。这项研究可能会大大缩短这一时间。 自动化3D建模一直是CAD行业一代人的主要目标。这个问题可以分为两个单独的挑战：1）识别和提取观察到的表面，以及2）随后自动扩展这些表面以形成实体3D模型。 该研究计划涉及开发算法，以推断观察到的建筑物表面，并将其扩展到与其他表面正确相交，从而完全自动完成实体3D模型。在几分钟内创建高度精确的3D建筑物模型和3D街道地图的潜力将使整个城市的建模具有成本效益。向公众广泛提供的精确的3D城市模型有可能对地图和个人导航市场以及商业建筑、工程项目、虚拟旅游和第一响应效率产生深远的影响。 仅在建筑、工程和施工（AEC）市场，公司每年花费近8亿美元用于手动创建3D建筑模型。 拟议的努力不会取代现有的CAD程序;相反，它将与CAD程序一起工作，以消除车载和三脚架激光扫描仪创建模型的繁琐和昂贵的手动步骤。如果开发成功，自动化高清晰度3D建筑模型和3D街道地图的商业潜力将非常巨大。