Enhacing building facade using mobile LiDAR

使用移动激光雷达增强建筑立面

• 批准号: 520117-2017
• 负责人: Wang, Ruisheng
• 金额: $ 6.63万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=692440
• 关键词: Enhacing; building; facade; using; mobile

The interest in generating 3D models is motivated by a wide range of applications, such as video games,Virtual, Augmented, and Mixed Reality, 3D vehicle navigation, surveillance, visualization, urban planning,solar potential analysis, and Geographic Information Systems (GIS). In recent years, the demand for 3Ddetailed building models containing doors, windows or balconies has dramatically increased. These needs ariseparticularly from 3D GPS navigation systems and on-line services such as Google Earth and Bing Maps.Currently, automatic generation of box-like 3D coarse building models is viable. However, these resultantbuilding models lack detailed building facade information and are not suitable for applications where detailedbuilding models at street level is required. The creation of 3D detailed building models is still a manual andlabor-intensive process.LiDAR (Light Detection And Ranging) technology, has proven very effective for many geo-applications suchas 3D urban modeling and rendering. Mobile LiDAR systems collect 3D and visual data while vehicles drive ata posted speed. The ability of producing highly accurate 3D points with sufficient detail make the mobileLiDAR a great data source for detailed 3D model generation. This project addresses challenging problems increating 3D detailed building models by integrating street-level mobile LiDAR with coarse building modelsfrom Google Earth or other sources. This includes registration of partially scanned LiDAR data with coarsemodels and detail transfer from LiDAR to the models.The detailed building models can improve 3D map accuracy and also have many potential applications inbuilding information modeling (BIM) and urban planning etc. The proposed approach is a cost-effectivesolution and the automated process will significantly improve productivity of detailed 3D map generation. Theresults will have a substantial economic impact on the mapping and navigation industry, location-based serviceproviders, as well as social benefits to Canada as a whole.

对生成3D模型的兴趣是由广泛的应用激发的，例如视频游戏，虚拟，增强和混合现实，3D车辆导航，监控，可视化，城市规划，太阳能潜力分析和地理信息系统（GIS）。近年来，对包含门、窗或阳台的3D详细建筑模型的需求急剧增加。这些需求特别来自于3D GPS导航系统和在线服务，如Google Earth和Bing Maps。目前，自动生成盒状3D粗略建筑物模型是可行的。然而，这些最终的建筑物模型缺乏详细的建筑立面信息，不适合应用程序，其中详细的建筑物模型在街道一级是必需的。三维详细建筑物模型的创建仍然是一个手工和劳动密集型的过程，LiDAR（Light Detection And Ranging）技术在三维城市建模和渲染等地理应用中已经被证明是非常有效的。移动的LiDAR系统在车辆以公布的速度行驶时收集3D和视觉数据。移动激光雷达能够生成具有足够细节的高精度3D点，这使得它成为生成详细3D模型的重要数据源。该项目通过将街道级移动的LiDAR与来自Google Earth或其他来源的粗略建筑模型集成，解决了增加3D详细建筑模型的挑战性问题。详细的建筑物模型可以提高三维地图的精度，在建筑信息建模（BIM）和城市规划等方面也有许多潜在的应用。本文提出的方法是一种具有成本效益的解决方案，自动化的过程将显着提高详细的三维地图生成的生产力。研究结果将对地图和导航行业、基于位置的服务提供商以及整个加拿大的社会效益产生重大的经济影响。