A System for Automated Generation of Urban 3D Digital Map

城市3D数字地图自动生成系统

• 批准号: 13450207
• 负责人: SHIBASAKI Ryosuke
• 金额: $ 7.3万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2001
• 资助国家: 日本
• 起止时间: 2001 至 2002
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-13450207/
• 关键词: Laser scanner; TLS; data fusion; Spatial data; 3D Acquisition

We developed a series of methods to generate a very detailed 3D digital map of urban areas. The approach is characterized by the fact that approaches using air-borne sensors and vehicle borne sensors are established respectively and then integrated.1.3D data acquisition from vehicle borne laser/CCD sensors and automated extraction of roadside features.An automated method of extracting spatial objects from laser scanning data from a vehicle. Targets of extraction include not only road, trees, vehicles and buildings but also linear features such as guard rails and pipes, traffic signs and poles. In case the target objects are not occluded, we can achieve a rather high probability of extraction success.2.Development of semi-automated methods for 3D modelingWe develop a semi-automated method with which an operator can generate 3D models very easily just by delineate the boundary or the location of a target-object manually. Behind the process, a computer determines the exact location and generates accurate surfaces of the target-object the boundary of which is roughly given by the operator. Actually, in urban areas, spatial objects may have so much complicated shapes and sometimes they are occluded by trees. These situations make the full automation in 3D modeling so difficult. With the semi-automated method, the total efficiency of the 3D data generation can be so much improved.3.Development of 3D modeling methods using air-borne line sensor dataIn generating 3D models of urban objects, mainly buildings, it is demonstrated that the success ratio of automated extraction and 3D modeling of buildings can be so much improved by providing an existing 2D map as a initial value or objects. By combining this method with the semi-automated method, it is demonstrated that the entire process of 3D modeling of urban objects can be so much improved in efficiency. In addition, data from the vehicle borne laser scanners can be integrated in the process of 3D modeling.

我们开发了一系列方法来生成非常详细的城市区域3D数字地图。该方法的特征是以下事实：使用空气传感器和车辆传感器分别建立然后集成。1.3D数据采集从车辆启用激光/CCD传感器以及路边功能的自动提取。从车辆中提取空间对象的自动化方法。提取目标不仅包括道路，树木，车辆和建筑物，还包括线性特征，例如护栏和管道，交通标志和电线杆。如果目标对象没有被遮挡，我们可以实现相当高的提取成功概率。2。用于3D Modelingingwe的半自动化方法的开发开发了一种半自动化方法，仅通过描绘目标目标或目标的位置，操作员就可以轻松地生成3D模型。在过程的背后，计算机确定了确切的位置并生成目标对象的准确表面，该边界大致由操作员给出。实际上，在城市地区，空间物体可能具有如此复杂的形状，有时它们会被树木阻塞。这些情况使3D建模中的完整自动化变得如此困难。使用半自动化的方法，3D数据生成的总效率可以得到很大改进。3。使用空体传播线路传感器数据生成3D模型的城市对象的3D模型（主要是建筑物）的开发，这证明，自动提取和3D建筑物的成功率可以改善建筑物的成功率，可以将其作为一个现有的2D型号，以提供2D的标准。通过将此方法与半自动化方法相结合，可以证明，城市物体的3D建模的整个过程可以在效率方面得到很大提高。此外，可以将来自车辆传播激光扫描仪的数据集成到3D建模过程中。

项目成果

Refining coarse 3D building models by using high resolution air-bome linar CCD (TLS) imagery

使用高分辨率机载线性 CCD (TLS) 图像精炼粗略 3D 建筑模型

• 发表时间: 2002
• 期刊: Proceedings of 23rd Asian Conference on Remote Sensing CD-R
• 作者: Nakagawa;M.;Shibasaki;R.
• 通讯作者: R.

Semi-automatic road extraction from high-resolution satellite image

• 发表时间: 2002
• 期刊: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• 作者: Huijing Zhao;Jun Kumagai;Masafumi Nakagawa;Ryosuke Shibasaki

Zhao, H., Shibasaki, R.: "Surface Modeling of Urban 3D Objects From Vehicle-borne Laser Range Data"Proc. of Photogrammetric Computer Vision. A. 412-417 (2002)

赵 H.、柴崎 R.：“基于车载激光测距数据的城市 3D 物体的表面建模”Proc。

Reconstructing urban 3D model using vehicle-borne laser range scanners

• DOI: 10.1109/im.2001.924475
• 发表时间: 2001-05
• 期刊: Proceedings Third International Conference on 3-D Digital Imaging and Modeling
• 作者: Huijing Zhao;R. Shibasaki

Surface Modeling of Urban 3D Objects From Vehicle-borne Laser Range Data

根据车载激光测距数据对城市 3D 物体进行表面建模

• 发表时间: 2002
• 期刊: Proceedings of Photogrammetric Computer Vision A
• 作者: Zhao;H.;Shibasaki;R.
• 通讯作者: R.