to capture a large density of points in a point cloud. It can be employed to measure the position and shapes of various asymmetrical and irregular objects. Thanks to its level of detail, speed, and number of captured points, it is possible to create an accurate digital 3D model of objects. TLS determines the spatial coordinates X, Y, and Z of points based on the spatial polar method. Application of TLS can be seen in fields such as engineering and construction [5; 6], industry [7; 8; 9], and land mapping [10; 11]. MLS is a new technology capable of capturing three-dimensional data from surrounding objects. Using the most modern sensors, the resulting point clouds capture object details with sufficient accuracy and density. MLS measurements can be carried out while the mobile laser scanner is mounted on various moving mobile platforms (UAV, car, boat), with the positioning system--usually based on a global navigation satellite system (GNSS) and inertial measurement unit (IMU)--tracking the trajectory and position of the scanner to create a 3D point cloud from measured data. Mobile laser scanners consist of data collection sensors and positioning sensors. The data collection sensors primarily include a calibrated Lidar (light detection and ranging) and a set of digital cameras. The Lidar sensor is capable of producing up to 1,000,000 points per second, and the camera set captures up to a 360\({}^{\circ}\) horizontal field of view to provide texture and color information for the point cloud, if necessary [12]. However, these systems are also capable of digitizing complex 3D scenes on the move without GNSS due to simultaneous localization and mapping (SLAM) algorithms [13; 14; 15]. The SLAM process focuses on mapping an unknown environment and simultaneously locating the sensor system within that environment through signals provided by the sensor. In terms of data quality, these devices typically offer centimeter-level accuracy [16]. The resolution depends on the scanning speed of the sensor and the distance from the object at any given moment. Several factors determine the type of sensor and platform needed for MLS tasks. These factors include sensor availability, project budget, technical solutions, desired accuracy and density of the point cloud, processing strategies, scene content, and interpretation of the resulting outputs. Using MLS techniques, large datasets of urban objects can be created, and dense, accurate point clouds enable various survey tasks. The MLS method is used for the reconstruction of outdoor scenes and objects that are classified as cultural heritage [17; 18]. Civil engineering [19], underground space mapping [20; 21; 22], detection and inventory of poles, traffic signs, and road objects [23; 24; 25], as well as light poles, are prime examples of MLS used in urban infrastructure maintenance [26; 27; 28]. The MLS method is also used for forest inventory [29; 30; 31] and in agriculture [32]. When using MLS in urbanized areas, the accuracy of the collected data depends on several factors. One of the key elements to ensure georeferencing and increase the precision of 3D models is the use of ground control points (GCPs) and check points (CPs). These points provide reference coordinates and are essential for precisely aligning scanned data with local or national coordinate systems. They play a critical role in the correction and calibration of data collected during scanning, significantly improving the accuracy and consistency of the resulting 3D models. The implementation of GCPs and CPs helps to minimize errors in georeferencing, which can arise due to the movement of the scanning device, and ensures the consistency and reliability of 3D data throughout the entire mapped area. This integration of GCPs with MLS represents a key technique for effective and accurate mapping of urban structures [33; 34] in the context of Smart City development and Digital Twins. This article focuses on the analysis of datasets captured in the city center of Ziar nad Hronom using different laser scanning approaches.