A Hybrid Point Cloud Reality Capture From Terrestrial Laser Scanning and Uav-Photogrammetry

Abstract

Abstract. Point clouds are a digital representation of physical objects or buildings that exist in real world. There are many sources that a point cloud can come from such as a terrestrial laser scanner (TLS) or an unmanned aerial vehicle (UAV). This paper presents a simple method of integrating point clouds from two (2) data sources; TLS and UAV using simple alignment of rigid body transformation method known as Point Pair Picking (PPP). The point cloud data are the representation of details of a one-story building located in Johor Bahru, Malaysia. The process of aligning two (2) separate clouds into one (1) dataset requires initial processing such as noise removal before the alignment process was started. A laser (LAS) formatted data were formed so that it compatible with the PPP process. As the result, a high dense hybrid cloud-model was produced covering complete details of the building. This shows that integration of point clouds could improve 3D documentation assessment such as Building Information Modelling (BIM) by contributing richer semantic information.

Fast subsampling strategy for point cloud based on novel octree coding

“…Step4: convert the binary code to octal code; that is, the code of the current layer l k is shown in equation (5), where O(.) represents the octal conversion symbol.…”

“…* Author to whom any correspondence should be addressed. multidimensional information such as the geometry, color, and reflectivity of scanned objects, they have vital applications in numerous domains, including automatic object recognition [1,2], 3D surface reconstruction [3], structure detection [4], terrain mapping [5], and building information modeling [6] et al Current scanning technology has the qualities of high speed and high resolution and can generate dense point cloud data on the surface information of the scanned object owing to the development of 3D scanning equipment and 3D data acquisition technology. Data processing is challenging because of the enormous amount of point cloud data that has been obtained, and this includes several issues such as high computational cost, large memory footprints, and troublesome data transport.…”

Transforming Physical Crime Scene into Geospatial-based Point Cloud Data

“…Terrestrial Laser Scanning (TLS) is used in land surveying to capture detailed information about the terrain and ground characteristics [13]. It functions as a terrestrial version of Light Detection and Ranging (LiDAR), producing point clouds that encompass a horizontal coverage of 180° and a vertical coverage of 270° [14].…”

Analysis of the Applicability of Photogrammetry in Building Façade

“…In the measurement of large areas, there are no significant differences in the accuracy of the cloud from 3D scan and drone imagery [6]. The point cloud can be a source of data feeding the BIM database in object inventories [31,18,20,22,23], and a point cloud obtained from photogrammetry significantly reduces the time needed for data collection [15] and reduces costs compared to a 3D scan [6].…”

“…This facilitates the subsequent use of the point cloud to model the shape of the object in BIM programmes. The combination of data collection methods: photogrammetry and laser scanning gives a more complete picture of the virtual twin [10,18,22,23]. Laser measurements require a stably positioned scanner (on the ground or a stable platform), and obtaining data from a higher altitude is possible through the use of drones and lightweight cameras.…”