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Aerial and Terrestrial LiDAR: Comparisons and Accuracies

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

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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.

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References

  1. 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

  2. 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

  3. 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)

    Google Scholar 

  4. 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

    Article  Google Scholar 

  5. Chen, W., et al.: SLAM overview: from single sensor to heterogeneous fusion. Remote Sens. 14, 6033 (2022). https://doi.org/10.3390/rs1423603

    Article  Google Scholar 

  6. 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

    Chapter  Google Scholar 

  7. 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

    Article  Google Scholar 

  8. 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

    Article  Google Scholar 

  9. 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

    Article  Google Scholar 

  10. 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

  11. 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)

    Article  Google Scholar 

  12. Taheri, H., Xia, Z.C.: SLAM, definition and evolution. Eng. Appl. Artif. Intell. 97, 104032 (2021)

    Article  Google Scholar 

  13. Jack Dangermond Fall 2013, The Power of GIS is Transforming Our World, Esri International User Conference

    Google Scholar 

  14. 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

  15. 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

    Article  Google Scholar 

  16. 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

    Chapter  Google Scholar 

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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.

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Correspondence to Gabriele Garnero .

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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

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  • DOI: https://doi.org/10.1007/978-3-031-37126-4_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37125-7

  • Online ISBN: 978-3-031-37126-4

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