QUALITY ASSESSMENT AND COMPARISON OF SMARTPHONE AND LEICA C10 LASER SCANNER BASED POINT CLOUDS
Article, Other literature type
- Publisher: Copernicus Publications
(issn: 2194-9034, eissn: 2194-9034)
TA1-2040 | T | TA1501-1820 | Applied optics. Photonics | Engineering (General). Civil engineering (General) | Technology
3D urban models are valuable for urban map generation, environment monitoring, safety planning and educational purposes. For 3D
measurement of urban structures, generally airborne laser scanning sensors or multi-view satellite images are used as a data source.
However, close-range sensors (such as terrestrial laser scanners) and low cost cameras (which can generate point clouds based on
photogrammetry) can provide denser sampling of 3D surface geometry. Unfortunately, terrestrial laser scanning sensors are expensive
and trained persons are needed to use them for point cloud acquisition. A potential effective 3D modelling can be generated based on a
low cost smartphone sensor. Herein, we show examples of using smartphone camera images to generate 3D models of urban structures.
We compare a smartphone based 3D model of an example structure with a terrestrial laser scanning point cloud of the structure. This
comparison gives us opportunity to discuss the differences in terms of geometrical correctness, as well as the advantages, disadvantages
and limitations in data acquisition and processing. We also discuss how smartphone based point clouds can help to solve further
problems with 3D urban model generation in a practical way. We show that terrestrial laser scanning point clouds which do not have
color information can be colored using smartphones. The experiments, discussions and scientific findings might be insightful for the
future studies in fast, easy and low-cost 3D urban model generation field.