Abstract
Based on the availability of data produced during the activities carried out for the creation of the new topographic database [DBT] of the Municipality of Genoa, the integration methods between aerial laser scanner and terrestrial laser scanner surveys are evaluated for a comprehensive modeling of the territory.
In the recent past, methodologies for acquiring territorial data that generate point clouds have become available: aerial and terrestrial laser scanning, SLAM acquisitions, and the production of point clouds obtained through photogrammetric correlation.
The purpose of this paper is to highlight, based on the conducted experiences and available data, the activities carried out that involve the potential for mutual integration between aerial and terrestrial LiDAR surveys.
The mutual accuracies and the merging methods between the available datasets are also assessed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Frías, E., Previtali, M., Díaz-Vilariño, L., Scaioni, M., Lorenzo, H.: Optimal scan planning for surveying large sites with static and mobile mapping systems. ISPRS J. Photogram. Remote Sens. 192, 13–32 (2022). ISSN 0924-2716, https://doi.org/10.1016/j.isprsjprs.2022.07.025
White, G., Zink, A., Codecà, L., Clarke, S.: A digital twin smart city for citizen feedback. Cities 110, 103064 (2021). ISSN 0264-2751, https://doi.org/10.1016/j.cities.2020.103064
Shaohua, G., Kailun, Y., Hao, S., Kaiwei, W., Bai, J.: Review on panoramic imaging and its applications in scene understanding. IEEE Trans. Instrum. Meas. 71, 1–34 (2022)
Terrone, M., Piana, P., Paliaga, G., D’Orazi, M., Faccini, F.: Coupling historical maps and LiDAR data to identify man-made landforms in urban areas. ISPRS Int. J. Geo Inf. 10, 349 (2021). https://doi.org/10.3390/ijgi10050349
Chen, W., et al.: SLAM overview: from single sensor to heterogeneous fusion. Remote Sens. 14, 6033 (2022). https://doi.org/10.3390/rs1423603
Schade, S., et al.: Geospatial information infrastructures. In: Guo, H., Goodchild, M.F., Annoni, A. (eds.) Manual of Digital Earth, pp. 161–190. Springer, Singapore (2020). https://doi.org/10.1007/978-981-32-9915-3_5
Breunig, M., et al.: Geospatial data management research: progress and future directions. ISPRS Int. J. Geo-Inf. 9(2), 95 (2020). https://doi.org/10.3390/ijgi9020095
Sammartano, G., Spanò, A.: Point clouds by SLAM-based mobile mapping systems: accuracy and geometric content validation in multisensor survey and stand-alone acquisition. Appl. Geomatics 10(4), 317–339 (2018). https://doi.org/10.1007/s12518-018-0221-7
Schrotter, G., Hürzeler, C.: The digital twin of the city of Zurich for urban planning. PFG – J. Photogram. Remote Sens. Geoinf. Sci. 88(1), 99–112 (2020). https://doi.org/10.1007/s41064-020-00092-2
Zhu, J., Wan, J., Wang, X., Tan, Y.: Chapter 19: An economical approach to geo-referencing 3D model for integration of BIM and GIS. In: Innovative Production and Construction, pp. 321–334 (2019). https://doi.org/10.1142/9789813272491_001
Bresson, G., Alsayed, Z., Yu, L., Glaser, S.: Simultaneous localization and mapping: a survey of current trends in autonomous driving. IEEE Trans. Intell. Veh. 2, 194–220 (2017)
Taheri, H., Xia, Z.C.: SLAM, definition and evolution. Eng. Appl. Artif. Intell. 97, 104032 (2021)
Jack Dangermond Fall 2013, The Power of GIS is Transforming Our World, Esri International User Conference
White, G., Zink, A., Codecà, L., Clarke, S.: A digital twin smart city for citizen feedback. Cities 110, 103064 (2021). ISSN 0264-2751, https://doi.org/10.1016/j.cities.2020.103064
Schrotter, G., Hürzeler, C.: The digital twin of the city of Zurich for urban planning. PFG – J. Photogram. Remote Sens. Geoinf. Sci. 88(1), 99–112 (2020). https://doi.org/10.1007/s41064-020-00092-2
D’Orazi, M., Garnero, G., Traverso, S., Vertamy, E.: The new geodatabase of the municipality of Genoa: innovative aspects and applications. In: Borgogno-Mondino, E., Zamperlin, P. (eds.) ASITA 2021. CCIS, vol. 1507, pp. 216–229. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-94426-1_16
Acknowledgments
We would like to thank the working group SIT Applications of the Municipality of Genoa for providing the material for the experimentation of this work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Garnero, G. (2023). Aerial and Terrestrial LiDAR: Comparisons and Accuracies. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14111. Springer, Cham. https://doi.org/10.1007/978-3-031-37126-4_38
Download citation
DOI: https://doi.org/10.1007/978-3-031-37126-4_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-37125-7
Online ISBN: 978-3-031-37126-4
eBook Packages: Computer ScienceComputer Science (R0)