### Literature Review  
In this section, improvements in smartphone scanning technology are presented in chronological order through the literature review. [PERSON] & [PERSON] [6] investigated the possibilities of the Google Tango Tablet (a device for developers) to scan and model building interiors to support indoor navigation. The 3D models produced did not have enough detail to support advanced indoor navigation, but simple data processing could integrate basic semantic and topological information into the models. [PERSON] et al. [7] applied Google Tango technology to forest inventory. The authors used the Lenovo Phab 2 Pro to scan three circular tree test areas (radius equal to 12.62 m) differing in age and tree species composition. Point clouds of tree stems were generated from the scans, and tests showed an RMSE of the diameter at breast height (DBH) lower than 0.02 m.  
Also for forest inventory purposes, [PERSON] et al. [8] used the Lenovo Phab 2 Pro to measure the diameter of individual tree stems. The authors measured 121 tree stem diameters using traditional methods and compared them with point clouds generated by the Lenovo Phab 2 Pro. The Lenovo device measurements matched traditional measurements with an RMSE of 0.0073 m and a bias mean of 0.003 m.  
[PERSON] et al. [1] applied ARCore technology and a Xiaomi Mi 8 smartphone to survey and model two boulders that were part of rock outcrops in the Trebickso Nature Park. Almost all the generated models differed from the reference models (generated by Terrestrial LiDAR Scanning-TLS) by values smaller than 6 cu m for volume and 2 sqm for area. [PERSON] et al. [9] tested the possibilities of detecting a 12 sqm room with ARCore and EasyAR (a commercial application for augmented reality). At the end of the experiments, the authors were not satisfied with the produced models and proposed modifications and new technologies to improve the 3D models, such as the use of a depth recognition API (recently implemented on a small part of Android devices as DepthAPI) and the use of LiDAR sensors. [PERSON] et al. [10] investigated the capabilities of Apple devices to scan small objects; the authors used the LiDAR scanner and TrueDepth technology of the iPad Pro to scan LEGO bricks of different shapes. Comparing the results with an industrial 3D scanner (Artec Space Spider), [PERSON] et al. showed that in all cases, the industrial scanner provides better results, but the accuracy of the smartphone may be sufficient depending on the applications. [PERSON] et al. [11] presented research concerning the large-scale 3D mapping capabilities of the iPad Pro LiDAR sensor. Focusing on architectural survey applications, [PERSON] et al. scanned a scene consisting of an outdoor emergency staircase connected to a historic building. The point cloud captured with the iPad Pro showed a precision of 0.02 m and an accuracy of 0.04 m, which--importantly--is suitable for architectural mapping at a scale of 1:200. [PERSON] et al. [12] used an iPhone 12 Pro to scan a 26 m mechanically excavated credaceous marlatone and limestone rock face and extracted rock discontinuities from the point cloud. [PERSON] et al. identified in their research that the optimal distance for scanning rocks with the iPhone Pro 12 is less than 3 m and, based on their results, highlighted the device's great potential for detecting rocky slopes. [PERSON] et al. [2] investigated the accuracy of the iPad Pro 2020 and iPhone Pro 12 LiDAR scanner in surveying large natural elements for possible applications in the field of geosciences. [PERSON] et al. surveyed and reconstructed in 3D the Roneklint cliff in Denmark. The cliff was 130 m long and had a mean height of 10 m. The 3D model reconstructed by scanning with iPad Pro 2020 and iPhone Pro 12 LiDAR presented an accuracy of 0.1 m.  
[PERSON] et al. [3] used the iPad Pro LiDAR scanner for forest inventory purposes.