Enhacing building facade using mobile LiDAR

人们对生成3D模型的兴趣来自广泛的应用，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**尤其来自3D GPS导航系统和在线服务，如Google Earth和Bing地图。**目前，自动生成盒状3D粗略建筑模型是可行的。然而，这些生成的**建筑模型缺乏详细的建筑立面信息，不适合需要街道水平的详细**建筑模型的应用。创建3D详细建筑模型仍然是一个人工和**劳动密集型过程。**LiDAR(光检测和测距)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。当车辆以**设定的速度行驶时，移动激光雷达系统收集3D和视觉数据。能够生成具有足够细节的高精度3D点，使移动**LiDAR成为生成详细3D模型的极佳数据源。该项目解决了**通过将街道级移动LiDAR与来自Google Earth或其他来源的粗略建筑模型**相集成来创建3D详细建筑模型的挑战性问题。这包括将部分扫描的LiDAR数据与粗略**模型配准，并将细节从LiDAR传输到模型。**详细建筑模型可以提高3D地图的精度，并在**建筑信息建模(BIM)和城市规划等方面具有许多潜在的应用。所提出的方法是一种经济高效的**解决方案，自动化过程将显著提高详细3D地图生成的生产率。**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经济影响。

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 3D**detailed building models containing doors, windows or balconies has dramatically increased. These needs arise**particularly 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 resultant**building models lack detailed building facade information and are not suitable for applications where detailed**building models at street level is required. The creation of 3D detailed building models is still a manual and**labor-intensive process.**LiDAR (Light Detection And Ranging) technology, has proven very effective for many geo-applications such**as 3D urban modeling and rendering. Mobile LiDAR systems collect 3D and visual data while vehicles drive at**a posted speed. The ability of producing highly accurate 3D points with sufficient detail make the mobile**LiDAR a great data source for detailed 3D model generation. This project addresses challenging problems in**creating 3D detailed building models by integrating street-level mobile LiDAR with coarse building models**from Google Earth or other sources. This includes registration of partially scanned LiDAR data with coarse**models and detail transfer from LiDAR to the models.**The detailed building models can improve 3D map accuracy and also have many potential applications in**building information modeling (BIM) and urban planning etc. The proposed approach is a cost-effective**solution and the automated process will significantly improve productivity of detailed 3D map generation. The**results will have a substantial economic impact on the mapping and navigation industry, location-based service**providers, as well as social benefits to Canada as a whole.