## 7 Conclusions  
This article can serve as a foundation for replacing traditional geodetic methods with a more efficient MLS method. MLS can produce dense point clouds for the reconstruction of objects with absolute accuracy at the centimeter level. However, data from mobile laser scanners exhibit significantly higher noise levels compared to data from static scanners. On the other hand, SLAM scanners can achieve better area coverage since the scanner's position is continuously changing, eliminating obstacles. Therefore, when choosing a method for obtaining point clouds, it should be considered whether the shorter measurement time is more important or if higher density and measurement accuracy are the priority. The TLS method provides higher quality point cloud parameters, producing point clouds that are 5 times denser than those generated by the Stonex X120 GO mobile laser scanner and 20 times denser than those generated by the Lidaretto mobile laser scanner. The TLS method allows for modeling objects at an appropriate level of geometric detail despite the longer data acquisition and processing times. However, MLS is ideal for scanning dynamic environments, such as busy urban areas where static scanning is inefficient. When scanning with mobile laser scanners like Lidaretto and Stonex X120 GO in urban environments, the use of GCPs and CPs is crucial for improving accuracy and compensating for potential errors caused by weak GPS signals or the complex geometry of urban areas. These scanners provide high-quality data with appropriate calibration and settings, making them suitable tools for the 3D mapping of urban infrastructures in the context of Smart City and Digital Twins applications. While the iPhone 13 Pro with an Emlid scanning kit and a GNSS antenna Reach RX can be useful for small-scale scanning and documentation of urban environments, professional and precise 3D mapping should ideally be combined with supplementary tools or specialized scanners to minimize errors and enhance overall data accuracy. Given the speed and ease of scanning as well as the extent of the scanned area, we can conclude that the results from mobile laser scanners Lidaretto and Stonex X120 GO were very good, and using these scanners could be more appropriate than static scanners for applications like creating Digital Twins, BIM, or cartographic works. MLS provides invaluable advantages for creating Digital Twins, particularly due to its speed, accuracy, flexibility, and ability to integrate various data sources. These characteristics make it one of the most effective methods for collecting and processing 3D data, essential for creating realistic and functional digital models of complex environments.  
Conceptualization: L.K., B.T., P.P., P.B. and O.T.; methodology: L.K., B.T., P.P. and P.B.; software: L.K., B.T. and P.P.; validation: L.K., B.T., P.P., P.B. and O.T.; formal analysis: L.K., B.T., P.P., P.B. and O.T.; investigation: L.K.; resources: B.T. and P.P.; data curation: L.K., B.T. and P.P.; writing--original draft preparation: L.K., B.T. and P.P.; writing--review and editing: L.K., B.T., P.P., P.B. and O.T.; visualization: L.K., B.T. and P.P.; supervision: L.K. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This research was supported by the Slovak Research and Development Agency under contract KEGA grant no. 003 TUKE-4/2023 and 011 TUKE-4/2024 and grant no. APVV-18-0351.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** Dataset available on request from the authors.  
**Conflicts of Interest:** The authors declare no conflicts of interest.