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.

产生3D模型的兴趣是由广泛的应用程序（例如视频游戏，虚拟，增强和混合现实），3D车辆导航，监视，可视化，城市规划，太阳能分析和地理信息系统（GIS）（GIS）等广泛的应用激励的。 。近年来，对包含门，窗户或阳台的3DETAILED建筑模型的需求大大增加。这些需求来自3D GPS导航系统和在线服务，例如Google Earth和Bing Maps。目前，自动生成类似盒子的3D粗大建筑模型是可行的。但是，这些结果建筑模型缺乏详细的建筑外墙信息，并且不适用于需要在街道层面上进行详细建筑模型的应用。创建3D详细的建筑模型仍然是手动和策略密集型过程。Lidar（光检测和范围）技术，已被证明对许多地理应用非常有效，例如3D城市建模和渲染。移动LIDAR系统收集3D和视觉数据，而车辆驾驶ATA张贴速度。产生具有足够细节的高度准确的3D点的能力使MobilelIdar成为详细3D模型生成的重要数据源。该项目通过将街道级的移动激光雷达与Google Earth或其他来源的粗糙建筑模型相结合，从而解决了具有挑战性的问题，从而使3D详细的建筑模型增加了详细的建筑模型。这包括对部分扫描的LiDAR数据进行注册，这些数据具有CoarSemodels以及从LiDar到模型的细节转移。详细的建筑模型可以提高3D地图的准确性，并且具有许多潜在的应用程序嵌入信息建模（BIM）和Urban Planning等。所提出的方法是一种方法。成本效应解决和自动化过程将显着提高详细的3D地图生成的生产率。这些人将对地图和导航行业，基于位置的服务推广商以及对整个加拿大的社会利益产生重大的经济影响。