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Real-Time Update of Digital Terrain Model From Lidar Data Cover

Real-Time Update of Digital Terrain Model From Lidar Data

Architecture, Civil Engineering, Environment
Volume 18 (2025): Issue 3 (September 2025)
By:
Open Access
|Sep 2025

References

  1. Rao AS, Radanovic M, Liu Y, Hu S, Fang Y, Khoshelham K, Palaniswami M, Ngo T. (2022). Realtime monitoring of construction sites: sensors, methods, and applications. <em>Autom. Constr</em>., 136, 104099. doi:<a href="https://doi.org/10.1016/j.autcon.2021.104099." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.autcon.2021.104099.</a>
    Open DOISearch in Google ScholarBack to article
  2. Clemen C, Schröder M, Kaiser T, Romanschek E. (2021). IFCTerrain – a free and open source tool to convert digital terrain models (DTM) to OpenBIM Industry Foundation Classes (IFC). ISPRS Annals, VIII-4/W2, 145–51. doi:<a href="https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-145-2021." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.5194/isprs-annals-VIII-4-W2-2021-145-2021.</a>
    Open DOISearch in Google ScholarBack to article
  3. Marotta F, Teruggi S, Achille C, Vassena GPM, Fassi F. (2021). Integrated laser scanner techniques to produce high-resolution DTM of vegetated territory. <em>Remote Sens., 13</em>(13), 2504. doi:<a href="https://doi.org/10.3390/rs13132504." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/rs13132504.</a>
    Open DOISearch in Google ScholarBack to article
  4. Gbopa AO, Ayodele EG, Okolie CJ, Ajayi AO, Iheaturu CJ. (2021). Unmanned aerial vehicles for three-dimensional mapping and change detection analysis. <em>GaEE, 15</em>(1), 41–61. doi:<a href="https://doi.org/10.7494/geom.2021.15.1.41." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.7494/geom.2021.15.1.41.</a>
    Open DOISearch in Google ScholarBack to article
  5. Matrone F, Gallitto F, Lingua AM, Maschio PF. (2024). Exploitation of the number of return echoes for DTM extraction from point clouds acquired by LiDAR UAS DJI Zenmuse L1. ISPRS Archives, 48, 233–40. doi:<a href="https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-233-2024." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.5194/isprs-archives-XLVIII-2-2024-233-2024.</a>
    Open DOISearch in Google ScholarBack to article
  6. Bao Z, Hossain S, Lang H, Lin X. (2023). A review of high-definition map creation methods for autonomous driving. E<em>ng. Appl. Artif. Intell</em>., 122, 106125. doi:<a href="https://doi.org/10.1016/j.engappai.2023.106125." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.engappai.2023.106125.</a>
    Open DOISearch in Google ScholarBack to article
  7. Elhashash M, Albanwan H, Qin R. (2022). A review of mobile mapping systems: from sensors to applications. <em>Sensors, 22</em>(11), 4262. doi:<a href="https://doi.org/10.3390/s22114262." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/s22114262.</a>
    Open DOISearch in Google ScholarBack to article
  8. Kaczmarek A, Rohm W, Klingbeil L, Tchórzewski J. (2022). Experimental two-dimensional extended Kalman filter sensor fusion for low-cost GNSS/IMU/odometers precise positioning system. <em>Meas</em>., 193, 110963. doi:<a href="https://doi.org/10.1016/j.measurement.2022.110963." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.measurement.2022.110963.</a>
    Open DOISearch in Google ScholarBack to article
  9. Pereira T, Gameiro T, Viegas C, Santos V, Ferreira N. (2023). Sensor integration in a forestry machine. <em>Sensors, 23</em>(24), 9853. doi:<a href="https://doi.org/10.3390/s23249853." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/s23249853.</a>
    Open DOISearch in Google ScholarBack to article
  10. Dahal P, Arrigoni S, Bijelic M, Braghin F. (2024). MLIO: multiple LiDARs and inertial odometry. In: Proceedings of the Advanced Vehicle Control Symposium, Cham (Switzerland), <em>Springer Nature Switzerland</em>, 833–42. doi:<a href="https://doi.org/10.1007/978-3-031-70392-8_118." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/978-3-031-70392-8_118.</a>
    Open DOISearch in Google ScholarBack to article
  11. Immonen M, Niskanen I, Hallman L, Keränen P, Hiltunen M, Kostamovaara J, Heikkilä R. (2021). Fusion of 4D point clouds from a 2D profilometer and a 3D LiDAR on an excavator. <em>IEEE Sens. J., 21</em>(15), 17200–6. doi:<a href="https://doi.org/10.1109/JSEN.2021.3078301." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/JSEN.2021.3078301.</a>
    Open DOISearch in Google ScholarBack to article
  12. Gagula AC, Bolanio KP, Bermoy MM, Salupado CA, Arayan MG. (2023). Integrating geospatial techniques and UAS technology to update LiDAR DTM for flood modeling in Las Nieves, Agusan del Norte, Philippines. ISPRS Archives, 48, 109–16. doi:<a href="https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-109-2023." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.5194/isprs-archives-XLVIII-4-W6-2022-109-2023.</a>
    Open DOISearch in Google ScholarBack to article
  13. Ćwiąkała P, Gruszczyński W, Stoch T, Puniach E, Mrocheń D, Matwij W, Matwij K, Nędzka M, Sopata P, Wójcik A. (2020). UAV applications for determination of land deformations caused by underground mining. <em>Remote Sens., 12</em>(11), 1733. doi:<a href="https://doi.org/10.3390/rs12111733." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/rs12111733.</a>
    Open DOISearch in Google ScholarBack to article
  14. Skaloud J, Schaer P, Stebler Y, Tomé P. (2010). Realtime registration of airborne laser data with subdecimeter accuracy. ISPRS J. Photogramm. <em>Remote Sens., 65</em>(2), 208–17. doi:<a href="https://doi.org/10.1016/j.isprsjprs.2009.12.003." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.isprsjprs.2009.12.003.</a>
    Open DOISearch in Google ScholarBack to article
  15. Ernst D, Jüngerink J, Kindervater L, Moftizadeh R, Alkhatib H, Vogel S. (2021). Data fusion for georeferencing a laser scanner‐based multi‐sensor system in a city environment. In: Proceedings of the 24th International Conference on Information Fusion, Sun City (South Africa), <em>IEEE</em>, 1–8. doi:<a href="https://doi.org/10.23919/FUSION49465.2021.9627026." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.23919/FUSION49465.2021.9627026.</a>
    Open DOISearch in Google ScholarBack to article
  16. Koch P, Lacroix S. (2016). Managing environment models in multi‐robot teams. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Daejeon (Korea), <em>IEEE</em>, 5722–8. doi:<a href="https://doi.org/10.1109/IROS.2016.7759842." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/IROS.2016.7759842.</a>
    Open DOISearch in Google ScholarBack to article
  17. Wang L, Li S,DuM, Ji G, Li K, Liu D. (2025). Terrain preview detection system based on loosely coupled and tightly coupled fusion with LiDAR and IMU. <em>Meas</em>., 242, 115924. doi:<a href="https://doi.org/10.1016/j.measurement.2024.115924." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.measurement.2024.115924.</a>
    Open DOISearch in Google ScholarBack to article
  18. Fankhauser P, Bloesch M, Hutter M. (2018). Probabilistic terrain mapping for mobile robots with uncertain localization. <em>IEEE Robot. Autom. Lett., 3</em>(4), 3019–26. doi:<a href="https://doi.org/10.1109/LRA.2018.2849506." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1109/LRA.2018.2849506.</a>
    Open DOISearch in Google ScholarBack to article
  19. Maturana D, Chou PW, Uenoyama M, Scherer S. (2018). Real-time semantic mapping for autonomous off-road navigation. In: Field and Service Robotics: Results of the 11th International Conference, Cham (Switzerland), Springer International Publishing, 335–50. doi:<a href="https://doi.org/10.1007/978-3-319-67361-5_22." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/978-3-319-67361-5_22.</a>
    Open DOISearch in Google ScholarBack to article
  20. Li Y, Ding L, Zheng Z, Yang Q, Zhao X, Liu G. (2018). A multi-mode real-time terrain parameter estimation method for wheeled motion control of mobile robots. <em>Mech. Syst. Signal Process</em>., 104, 758–75. doi:<a href="https://doi.org/10.1016/j.ymssp.2017.11.038." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ymssp.2017.11.038.</a>
    Open DOISearch in Google ScholarBack to article
  21. Ding N, Zhou Y, Li D, Zeng K. (2024). Real-time deformation monitoring of large diameter shield tunnel based on multi-sensor data fusion technique. <em>Meas</em>., 225, 114061. doi:<a href="https://doi.org/10.1016/j.measurement.2023.114061." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.measurement.2023.114061.</a>
    Open DOISearch in Google ScholarBack to article
  22. Phillips TG, Guenther N, McAree PR. (2017). When the dust settles: the four behaviors of LiDAR in the presence of fine airborne particulates. <em>J. Field Robot., 34</em>(5), 985–1009. doi:<a href="https://doi.org/10.1002/rob.21701." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/rob.21701.</a>
    Open DOISearch in Google ScholarBack to article
  23. Robertson G. (2016). Mining’s imperative for enhanced accuracy of real-time spatial data and reporting. In: Proceedings of the 16th International Congress for Mine Surveying, Brisbane (Australia), [publisher unknown].
    Search in Google ScholarBack to article
  24. Li X, Liu C, Li J, Baghdadi M, Liu Y. (2021). A multisensor environmental perception system for an automatic electric shovel platform. <em>Sensors, 21</em>(13), 4355. doi:<a href="https://doi.org/10.3390/s21134355." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/s21134355.</a>
    Open DOISearch in Google ScholarBack to article
  25. Hirayama M, Guivant J, Katupitiya J, Whitty M. (2019). Path planning for autonomous bulldozers. <em>Mechatronics</em>, 58, 20–38. doi:<a href="https://doi.org/10.1016/j.mechatronics‥01.001." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.mechatronics‥01.001.</a>
    Open DOISearch in Google ScholarBack to article
  26. Zhang L, Zhao J, Long P, Wang L, Qian L, Lu F, Song X, Manocha D. (2021). An autonomous excavator system for material loading tasks. <em>Sci. Robot., 6</em>(55), eabc3164. doi:<a href="https://doi.org/10.1126/scirobotics.abc3164." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1126/scirobotics.abc3164.</a>
    Open DOISearch in Google ScholarBack to article
  27. Chae MJ, Lee GW, Kim JY, Park JW, Cho MY. (2011). A 3D surface modeling system for intelligent excavation system. <em>Autom. Constr., 20</em>(7), 808–17. doi:<a href="https://doi.org/10.1016/j.autcon.2011.02.003." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.autcon.2011.02.003.</a>
    Open DOISearch in Google ScholarBack to article
  28. Guan T, He Z, Song R, Zhang L, Manocha D. (2023). TNES: terrain traversability mapping, navigation and excavation system for autonomous excavators on worksite. <em>Auton. Robots., 47</em>(6), 695–714. doi:<a href="https://doi.org/10.1007/s10514-023-10113-9." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s10514-023-10113-9.</a>
    Open DOISearch in Google ScholarBack to article
  29. Leica Geosystems AG. (2022 May 16). 4 Create a surface model [video on the Internet]. YouTube [cited 2025 Sep 21]. Available from: https://www.youtube.com/watch?v=jiZy5DLMT6o.
    Search in Google ScholarBack to article
  30. Trimble CE&amp;C Help. (2018 Nov 28). Trimble Earthworks tutorial – record a point [video on the Internet]. YouTube [cited 2025 Sep 21]. Available from: https://www.youtube.com/watch?v=q3tS63oO3ls.
    Search in Google ScholarBack to article
  31. Unicontrol ApS. [date unknown]. Learn how to utilize 3D machine control: create surface from points [Internet]. Unicontrol ApS [cited 2024 Nov 18]. Available from: https://www.unicontrol.com/learn-machine-control.
    Search in Google ScholarBack to article
  32. Makin AS. (2023). Makin’ 3D: user guide 2.20 [Internet]. Makin AS [cited 2025 Sep 21]. Available from: https://maskinsystem.com/wp-con-tent/uploads/makin_excavator3d_usermanual-3.pdf.
    Search in Google ScholarBack to article
  33. Novatron Oy. (2021). Xsite Pro LandNova X: bruker-håndbok for gravemaskin version 1.14.3.80 [Internet]. Novatron Oy [cited 2025 Sep 21]. Available from: https://hella.no/wp-content/uploads/2021/12/Xsite_Pro_user_manual_LandNova_X_1_6_2021_N O_8.11.2021.pdf.
    Search in Google ScholarBack to article
  34. AEC Software Technology. (2018 Oct 8). Asbuilt mapping with machine control [video on the Internet]. YouTube [cited 2025 Sep 21]. Available from: https://www.youtube.com/watch?v=UluWSMWvpG w.
    Search in Google ScholarBack to article
  35. Trimble Construction Support. (2021 Jul 27). Trimble Earthworks – how to: track mapping in Earthworks 2.5 [video on the Internet]. YouTube [cited 2025 Sep 21]. Available from: https://www.youtube.com/watch?v=hoPJnnoSWdQ.
    Search in Google ScholarBack to article
  36. Leica Geosystems AG. (2023 Jan 23). How to use surface logging in MC1 [video on the Internet]. YouTube [cited 2025 Sep 21]. Available from: https://www.youtube.com/watch?v=J63XPDNNods.
    Search in Google ScholarBack to article
  37. Unicontrol ApS. (2024 May 23). Dredging operations in Norway: Hylland’s success story revealed [Internet]. LinkedIn [cited 2025 Sep 21]. Available from: https://www.linkedin.com/pulse/dredging-operations-norway -hyllands-success-story -revealed-zgbhf/.
    Search in Google ScholarBack to article
  38. Topcon Positioning Systems. (2017). 3D-MC software: user’s manual [Internet]. Topcon Positioning Systems [cited 2025 Sep 21]. Available from: https://myconstructiontechnology.com/wp-content/uploads/2021/04/3dmc_um.pdf.
    Search in Google ScholarBack to article
  39. Makin’ 3D Machine Control. (2022 Oct 20). Makin’ surfaces – productivity and efficiency at a glance [video on the Internet]. YouTube [cited 2025 Sep 21]. Available from: https://www.youtube.com/watch?v=bXwhVzUbOyw.
    Search in Google ScholarBack to article
  40. Bhandari V, James J, Phillips T, McAree PR. (2024). Probabilistic height grid terrain mapping for mining shovels using LiDAR. <em>IFAC-PapersOnLine, 58</em>(22), 54–9. doi:<a href="https://doi.org/10.1016/j.ifacol.2024.09.290." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.ifacol.2024.09.290.</a>
    Open DOISearch in Google ScholarBack to article
  41. D’Adamo T. (2023). Building and maintaining realtime terrain maps for autonomous bulldozer mining [dissertation]. Brisbane (Australia), The University of Queensland. doi:<a href="https://doi.org/10.14264/212c46e." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.14264/212c46e.</a>
    Open DOISearch in Google ScholarBack to article
  42. Okunsky MV, Nesterova NV. (2019). Velodyne LIDAR method for sensor data decoding. IOP Conf. <em>Ser. Mater. Sci. Eng., 516</em>(1), 012018.doi:<a href="https://doi.org/10.1088/1757-899X/516/1/012018." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1088/1757-899X/516/1/012018.</a>
    Open DOISearch in Google ScholarBack to article
  43. SciPy Community. [date unknown]. SciPy documentation: scipy.spatial.transform.Rotation [Internet]. SciPy [cited 2025 Feb 19]. Available from: https://docs.scipy.org/doc/scipy/reference/generated/s cipy.spatial.transform.Rotation.html.
    Search in Google ScholarBack to article
  44. Velodyne Lidar Inc. (2019). Velodyne Lidar Puck VLP-16: datasheet 63-9229 Rev-K [Internet]. Velodyne Lidar Inc [cited 2025 Sep 21]. Available from: https://ouster.com/downloads/velodyne-downloads.
    Search in Google ScholarBack to article
  45. Afzalaghaeinaeini A, Seo J, Lee D, Lee H. (2022). Design of dust-filtering algorithms for LiDAR sensors using intensity and range information in off-road vehicles. <em>Sensors, 22</em>(11), 4051. doi:<a href="https://doi.org/10.3390/s22114051." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3390/s22114051.</a>
    Open DOISearch in Google ScholarBack to article
  46. Zhao S, Lu TF, Koch B, Hurdsman A. (2015). 3D stockpile modelling and quality calculation for continuous stockpile management. <em>Int. J. Miner Process</em>., 140, 32–42. doi:<a href="https://doi.org/10.1016/j.minpro.2015.04.012." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.minpro.2015.04.012.</a>
    Open DOISearch in Google ScholarBack to article
DOI: https://doi.org/10.2478/acee-2025-0041 | Journal eISSN: 2720-6947 | Journal ISSN: 1899-0142
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Language: English
Page range: 205 - 223
Submitted on: Mar 21, 2025
Accepted on: Sep 1, 2025
Published on: Sep 30, 2025
Published by: Silesian University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
2.5D point cloud,
Digital terrain model,
GNSS,
IMU,
Lidar,
Python programming language
Related subjects:
Architecture and design,
Architecture,
Architects, buildings

© 2025 Daniel JANOS, Łukasz ORTYL, Przemysław KURAS, published by Silesian University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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