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Enhacing building facade using mobile LiDAR

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:
$4.15万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
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.
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