Fusion of Low-Cost UAV Point Cloud with TLS Point Cloud for Complete 3D Visualisation of a Building

Chauhan, Inshu; Rawat, Alok; Chauhan, MPS; Garg, RD

doi:10.1109/ingarss51564.2021.9792104

Cited by 3 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In light of research, there are many studies comparing the accuracy of TLS and UAV point clouds. [4][5][6][7][8][9][10]. A Leica BLK360 laser scanner was tested for steep slope mapping and the produced point cloud was compared to point clouds generated from UAV data [3].…”

Section: Introductionmentioning

confidence: 99%

“…Another research compared point clouds derived from low-cost UAV (Phantom 4 pro) and TLS. The comparison was implemented via three different ways: a) Metric based comparison b) C2C & M3C2 algorithm-based comparison and c) running linear regression for selected points on both the point clouds [4]. In another case [5], a baseline terrestrial laser scan model of a landslide was compared with corresponding models developed from digital photos acquired from three different UAV platform/sensor combinations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Point cloud density enhancement within PROION project

Kyriou,

Nikolakopoulos

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

View full text Add to dashboard Cite

Over the past few years Unmanned Aerial Vehicle (UAV) and Terrestrial Laser Scanner (TLS) have emerged as paramount remote sensing approaches for the generation of exceptional three-dimensional models. The current study aims to examine the synergistic use of UAV and TLS point clouds created in the context of "PROION" project. In particular, the project co-funded by the European Union and the Hellenic government, combines in situ measurements, remote sensing data and soft computing methods aiming at evaluating the possible deformation on national infrastructure located in Western Greece. 3D representations of the observation sites derived from UAV and TLS sensors constitute a key part of the validation procedure. In light of this, the spatial reconstruction of the observed infrastructure should be implemented in the best possible spatial resolution. Hence, each observation site was surveyed twice in a regular basis, i.e. a UAV flight was performed to collect points on the roof while a scanning was executed for the acquisition of facades. Afterwards the generated UAV and TLS 3D representations were fused in order to produce a more comprehensive 3D model of each infrastructure. The point clouds generated at the different processing stages were compared in terms of their density.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Point cloud density enhancement within PROION project

Kyriou,

Nikolakopoulos

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

View full text Add to dashboard Cite

show abstract

A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds

Wu,

Shen,

2023

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Mobile phone based laser scanning as a low-cost alternative for multidisciplinary data collection

Jeftha,

Shoko

2024

S. Afr. J. Sci

View full text Add to dashboard Cite

Airborne and terrestrial laser scanners have traditionally been used as specialised toolsets for three-dimensional scene capture in engineering, providing highly accurate measurements with increasingly minimal human interaction. However, commercial or engineering-grade scanning instruments remain expensive and sensitive, requiring costly routine calibrations to ensure their optimum functionality. The recent inclusion of laser scanning sensors by mobile phone corporations such as Apple Computer Inc. is now analogous to the integration of Global Navigation Satellite Systems (GNSS) and cameras into smartphones as seen decades ago. Likely, these initial efforts to include the scanning sensor in mobile phones will see rapid improvements in the application and accuracy of the sensor to serve the growing need for scanning applications for transdisciplinary users. However, there is a limited amount of literature that benchmarks the emerging and low-cost scanning sensors to existing commercial ones to inform practice, thus prompting a need for researchers to evaluate and provide scientific evidence that can inform multidisciplinary scanning. It was noted that there was some absolute positional shift and scan drift in the iPhone Light Detection and Ranging (LiDAR) data. The researchers therefore investigated the extent to which the accuracy of laser scanning tools available within the iPhone 12 Pro compared to engineering-grade laser scanners. Outcomes from the study showed that iPhone scanners can deliver the required models, despite being unstable in dynamic environments when pitched against engineering-grade LiDAR scanners. The research recommends that stabilisers, such as stabilising gimbals or enhanced GNSS receivers, be used in practice to achieve improved accuracy from the mobile phone LiDAR.

show abstract

Fusion of Low-Cost UAV Point Cloud with TLS Point Cloud for Complete 3D Visualisation of a Building

Cited by 3 publications

References 13 publications

Point cloud density enhancement within PROION project

Point cloud density enhancement within PROION project

A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds

Mobile phone based laser scanning as a low-cost alternative for multidisciplinary data collection

Contact Info

Product

Resources

About