## 1 Introduction
Scholars have utilized photogrammetry to create 3D models of historical sites, which were created using the graphical software (Unity) for the virtual reality aspect [37; 38]. Topographic methods or linear variable differential transducers (LVDTs) are two examples of alternative approaches for creation of a three-dimensional model from an object or area. However, they have major disadvantages, such as requiring long processing time, intensive manual work, and limitations in points positioning in a structure [39]. Laser scanning is also an alternative approach to photogrammetry. A notable advantage of the laser scanning approach is that it allows the data of low-textured objects to be collected. This is a situation where the photogrammetry matching approach often fails. The laser scanning uses a Global Positioning System (GPS) and Internal Navigation System (INS) for sensor orientation [40], and derives three-dimensional coordinates using Time of Flight (TOF) [41]. The laser scanner transmits impulses towards an object and estimates the distance between the scanner and the object. In addition, the laser scanner sends a laser line to an object and records the laser line reflection to obtain the geometry of the object [42]. Laser scanning, mainly airborne laser scanning (ALS), and photogrammetry have some differences and similarities. For example, they both use GPS and digital sensors. On the other hand, ALS uses point sensors, whereas photogrammetry uses line sensors. ALS takes points out of an area and photogrammetry covers the whole area. The production time in ALS is typically longer than in photogrammetry [40]. Photogrammetry is an inexpensive, easy-to-set-up method. On the other hand, in photogrammetry, to capture images with an appropriate map, mainly in harsh weather conditions, an experienced operator is needed. For some laser scanners, an extra digital camera is needed to capture RGB colors of surfaces. The disadvantage of scanners that have their own digital camera, is their low geometric resolution [43]. Laser scanning has a higher measurement accuracy than photogrammetry, however laser scanning procedures mostly costs more than photogrammetry [44]. When the material of the model/object absorbs or diffuses the laser, the photogrammetry method mostly works properly [45]. A number of studies have been conducted to identify the material during 3D model constructions. One of the material recognition methods is to classify the images and laser scanning data based on the spectral categorization. In this method, the image will be classified and analyzed based on its wavelength. Furthermore, by image analyzing, the effect of the environmental phenomena on the buildings' surfaces can also be identified [46]. In some cases, laser scanning usage might be limited to short distances [47]. The laser scanning method also has some disadvantages. To collect accurate point cloud data via a laser scanner, the precision of the operator plays a crucial role. Furthermore, converting the collected point cloud data into a 3D model of buildings requires intensive work [48]. In addition, the laser scanner has to be relocated several times during the process; therefore, in the collected point cloud data, the buildings' deformation should be considered [49]. A number of scholars conducted studies on collecting point cloud data using various procedures. [PERSON] et al. have accomplished a comprehensive study on different applications, such as photogrammetry, Lidar, as well as laser scanning, to collect 3D point clouds in the construction industry. Point cloud data can be used for different purposes and areas, such as civil engineering, construction industries, and tracing progress in building constructions [50]. The objective of this paper is to generate a working environment for real-time multibody based simulation models. The environment is created from an existing area in the real world. The campus area of Lappenranta-Lahti University of Technology, LUT University, Finland is selected as the case study.