Urban 3D modeling using mobile laser scanning: a review

Wang, Cheng; Wen, Chenglu; Dai, Yawei; Yu, Shangshu; Liu, Minghao

doi:10.1016/j.vrih.2020.05.003

Cited by 53 publications

(35 citation statements)

References 197 publications

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“…Point clouds are relevent data sources in the urban built environment (Wang et al, 2020). They are considered primary sources of geometric information in many processes as the efficiency and stability of acquisition systems improve.…”

Section: Related Workmentioning

confidence: 99%

“…Even if points are basic primitives, alone, they are not very relevant: point clouds need to aggregate a huge number of them to represent elements in details. Hence, the processing and features extraction of a significant number of points can be troublesome (Wang et al, 2020). Because of the performances needs, data segmentation is a necessary step before any practical use.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An Extension of Cityjson to Support Point Clouds

Nys

Kharroubi

Poux

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The combination between dense point clouds and 3D vector objects permits new cartographic representation of urban information. This paper proposes an extension for the CityJSON encoding to support point clouds. Following the 3.0 CityGML specifications, attributes and features are added to the core module of v1.0.1 CityJSON. Two solutions are proposed: inline complex geometries and external link to a remote file. The extended schema can be illustrated in four scenarios: detailed features visualization, fall-back solution in features reconstruction processes, simulating urban climate represented as vector fields, and true-to-life representation solution for complex elements such as solitary vegetation objects. It permits 3D city modelers to handle points clouds in a native way reducing files size and avoiding redundancy. All developments and documentation are available open-source.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An Extension of Cityjson to Support Point Clouds

Nys

Kharroubi

Poux

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…After geometric data collection, the pointclouds -actually a 3D model of reality-do not provide any information other than the spatial position of points. In order to extract information from a pointcloud it is necessary to perform a semantic segmentation MLS pointcloud; semantic segmentation can be achieved following feature-based methods, or deep learning methods (Wang et al, 2020).…”

Section: Geomatics and Accessibilitymentioning

confidence: 99%

A Data Collection Framework for Managing Accessibility and Inclusion in Urban Heritage

Marconcini

Treccani

Díaz-Vilariño

et al. 2021

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The successful implementation of inclusive design strategies cannot overlook the development of a preliminary phase aimed at gathering accessibility data of the built environment. This set of information helps achieve two major objectives: planning measures for improving the fruition of a city and communicating to end users the opportunities to exploit places. Specifically, this is fundamental in Cultural Heritage contexts both to survey their specific features and convey their historical values. To this end, such information must be accurate and gathered quickly. This paper aims to provide a set of parameters through which it is possible to comprehensively assess accessibility of Urban Heritage environments. Particularly, such task has been carried out in a more general framework targeted to investigate, how and by which tools, the current design practice achieve the aforementioned objectives. The article proposes a geometric survey through Mobile Laser Scanning system as a data gathering tool. The semantic segmentation of the resulting point cloud is envisioned as a suitable method for the extraction of the accessibility parameters proposed. Basing on first tests applied on a case study, a UNESCO site, the article provides and discusses a final proposal for the best data processing and validation, in addition to the key tools for sharing this information.

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“…analysis, where the basis for locating information obtained from other measurement sensors are spatial data obtained by geodetic techniques (eg TLS). An example of such applications is the combination of static terrestrial scanning (TLS) and mobile aerial scanning (ALS) [23,24], integration with the so-called texture mapping (photogrammetric techniques) [25,26] or the simultaneous use of portable X-ray Fluorescence Spectroscopy (pXRF), and photogrammetric techniques to evaluate monuments from the Byzantine era [27].…”

Section: Introductionmentioning

confidence: 99%

Geodetic and Architectural Inventory of the Historic Wooden Church of St. Szczepan in Mnichów (Poland) in Terms of Safety Assessment of the Geometric Condition of the Structure.

Lipecki

2020

Preprint

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The article concerns the method of architectural inventory of the historic, wooden church in Mnichów (southern Poland), built in the 18th century. During hundreds of years of operation, structural changes can be seen in it, as well as in objects located above mining operations. The article explains the principles of inventory and describes the applied method of laser scanning, starting from the design to the creation of a 3D solid model of the object, paying particular attention to the analysis based on the created point cloud. Thanks to them, the area and volumes of all rooms were determined, the verticality of columns supporting the church levels was assessed, the floor level and verticality of walls were determined, as well as the shape and level of the roof edges. Based on the research, it can be concluded that the church, as an example of a wooden religious monument, is in good condition. The detected deformations in this range do not have a destructive effect on the current state of the object, but it should be subjected to control measurements in a cyclical manner. The laser scanning method used allowed for a wide and accurate scope of the study of the geometry of the church structure, without the need to disorganize its equipment.

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Urban 3D modeling using mobile laser scanning: a review

Cited by 53 publications

References 197 publications

An Extension of Cityjson to Support Point Clouds

An Extension of Cityjson to Support Point Clouds

A Data Collection Framework for Managing Accessibility and Inclusion in Urban Heritage

Geodetic and Architectural Inventory of the Historic Wooden Church of St. Szczepan in Mnichów (Poland) in Terms of Safety Assessment of the Geometric Condition of the Structure.

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Urban 3D modeling using mobile laser scanning: a review

Cited by 53 publications

References 197 publications

An Extension of Cityjson to Support Point Clouds

An Extension of Cityjson to Support Point Clouds

A Data Collection Framework for Managing Accessibility and Inclusion in Urban Heritage

Geodetic and Architectural Inventory of the Historic Wooden Church of St. Szczepan in&nbsp;Mnichów (Poland) in Terms of Safety Assessment of the Geometric Condition of the Structure.

Contact Info

Product

Resources

About

Geodetic and Architectural Inventory of the Historic Wooden Church of St. Szczepan in Mnichów (Poland) in Terms of Safety Assessment of the Geometric Condition of the Structure.