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: $ 0.57万
• 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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=696724
• 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 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.

产生3D模型的兴趣是由广泛的应用程序（例如视频游戏）激励的 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）。近年来，对3D的需求 包含门，窗户或阳台的详细建筑模型已大大增加。这些需求出现 特别是来自3D GPS导航系统和在线服务，例如Google Earth和Bing Maps。 当前，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，不适合详细的应用 需要在街道上建造模型。创建3D详细建筑模型仍然是手册， 劳动密集型过程。 LIDAR（光检测和范围）技术已被证明对许多地理应用非常有效 作为3D城市建模和渲染。移动激光雷达系统在车辆开车时收集3D和视觉数据 发布的速度。产生高准确的3D点具有足够细节的能力使手机 LIDAR是详细的3D模型生成的绝佳数据源。该项目解决了具有挑战性的问题 通过将街道级的移动激光雷达与粗大建筑模型集成来创建3D详细的建筑模型 来自Google Earth或其他来源。这包括对部分扫描的LiDAR数据的注册 模型和细节从LIDAR转移到模型。 详细的建筑模型可以提高3D地图的准确性，并且在 构建信息建模（BIM）和城市规划等。拟议的方法是一种成本效益 解决方案和自动化过程将显着提高详细的3D地图生成的生产率。这 结果将对地图和导航行业，基于位置的服务产生重大的经济影响 提供者以及对整个加拿大的社会利益。