Langezijds

dr. V.V. Lehtola (Ville)

Assistant Professor
ITC-SCI-TECH
Langezijds 1308
v.v.lehtola@utwente.nl
+31534898190
Business card

Dr. Ville Lehtola is Assistant Professor in the Earth Observation Science (EOS) Department at ITC faculty of the University of Twente. The topic of his professorship is 'indoor and mobile mapping'. He is also Associate Professor (Dosentti) in "Computational Science, especially Multi-Sensor Fusion and Machine Learning" at Faculty of Information Sciences, University of Jyväskylä, Finland.

The works of Dr. Lehtola deal with perception sensors and data in urban, indoor, forest, and maritime environments. The typical problems may be characterized as simultaneous localization and mapping (SLAM), measuring while moving (or measuring moving targets), and analysis of the scanned data using AI techniques.

Well-known applications of these techniques are autonomous cars, autonomous forest machines, and autonomous ships. Also, automated techniques for modelling 3D indoor spaces offer tremendous potential for planning and construction applications towards BIM-based digital twins.

Expertise

  • Earth and Planetary Sciences

    • GNSS
    • State of the Art
    • Indoor Environment
    • Mobile Mapping

  • Computer Science

    • Point Cloud
    • Odometry

  • Engineering

    • Laser Scanner
    • Inertial Measurement Unit

Organisations

My research homepage:

https://sites.google.com/view/villelehtola

See my works in laser scanning and mobile mapping in Google Scholar (my background& PhD is in computational science/statistical physics):

https://scholar.google.com/citations?user=EaNLltMAAAAJ&view_op=list_works&sortby=pubdate

Publications

Jump to: 2026 | 2025 | 2024 | 2023 | 2022 | 2021

2026

Incremental semantics-aided meshing from LiDAR-inertial odometry and RGB direct label transfer (2026)In XXV ISPRS Congress 2026 “From Imagery to Understanding”, Commission II (pp. 335-342) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Affan, M., Lehtola, V. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLIX-B2-2026-335-2026Feasibility of indoor frame-wise Lidar semantic segmentation via distillation from visual foundation model (2026)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 263-270) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Wu, H., Torres, J. J. G., Vosselman, G. & Lehtola, V.https://doi.org/10.5194/isprs-annals-XI-1-2026-263-2026Autonomous uncrewed systems for offshore wind farm and undersea infrastructure maintenance: Pathways to climate and cyber-physical resilience (2026)In Critical Infrastructure Systems and Extreme Threat Nexus: Preparing for Resilience and Security (pp. 165-190) (NATO Science for Peace and Security Series C: Environmental Security). Springer (E-pub ahead of print/First online). Lehtola, V., Singer, J., Schutter, B. D., Sijs, J., Simola, J. & Montewka, J.https://doi.org/10.1007/978-3-032-13170-6_7Clean and consistent MLS point clouds from the start: Moving-object removal coupled with LIDAR-inertial odometry for urban scenes (2026)ISPRS journal of photogrammetry and remote sensing, 238, 775-793 (E-pub ahead of print/First online). Wang, S., Lehtola, V. V., Wu, H. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2026.05.039Gaussian or plane? Both:: Semantic-driven voxel representation for LiDAR–inertial odometry (2026)IEEE Robotics and automation letters, 11(1), 161-168. Article 11247866. Wu, H., Vosselman, G. & Lehtola, V.https://doi.org/10.1109/LRA.2025.3632730

2025

On-the-Fly Extrinsic Calibration of LiDAR–IMU via Nonuniform Motion Model and Excitation Analysis (2025)IEEE transactions on instrumentation and measurement, 74 (E-pub ahead of print/First online). Wang, S., Wu, H., Lehtola, V. V., Yue, H., Wang, Y. & Liu, C.https://doi.org/10.1109/TIM.2025.3635302Low-cost extrinsic calibration between LIDAR and thermal camera for indoor mapping (2025)In ISPRS ICWG II/Ia, ICWG I/IV UAV-g 2025 : Uncrewed Aerial Vehicles in Geomatics (pp. 181-188) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. van Manen, B. R., Lehtola, V. V., Mersha, A. & Nex, F. C.https://doi.org/10.5194/isprs-annals-X-2-W2-2025-181-2025From sound to sight: Towards AI-authored music videos (2025)In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 3792-3802). IEEE. Vitasovic, L., Graßhof, S., Kloft, A. M., Lehtola, V. V., Cunneen, M., Starostka, J., McGarry, G., Li, K. & Brandt, S. S.https://openaccess.thecvf.com/content/ICCV2025W/AISTORY/html/Vitasovic_From_Sound_to_Sight_Towards_AI-authored_Music_Videos_ICCVW_2025_paper.htmlBearing estimation using foghorn sounds (2025)Applied acoustics, 231. Article 110560. Gorad, A., Zhao, Z., Vallet García, J. M., Lehtola, V., Hammarberg, T., Ramm-Schmidt, H., Islam, S., Thombre, S. & Särkkä, S.https://doi.org/10.1016/j.apacoust.2025.110560

2024

Indoor functional subspace division from point clouds based on graph neural network (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 127. Article 103656. Yue, H., Wu, H., Lehtola, V., Wei, J. & Liu, C.https://doi.org/10.1016/j.jag.2024.103656Recognition of Indoor Scenes using 3D Scene Graphs (2024)IEEE transactions on geoscience and remote sensing, 62, 1-16. Article 5703216. Yue, H., Lehtola, V., Wu, H., Vosselman, G., Li, J. & Liu, C.https://doi.org/10.1109/TGRS.2024.3387556

2023

Can digital twin techniques serve city needs?: European cities face sustainability challenges and more (2023)GIM International, 37, 12-15. Lehtola, V. V. & Markkula, M.https://www.gim-international.com/content/article/can-digital-twin-techniques-serve-city-needsEditorial of theme issue “3D Modeling of Indoor Environments” (2023)ISPRS journal of photogrammetry and remote sensing, 195, 220-221. Kang, Z., Wang, C., Khoshelham, K. & Lehtola, V.https://doi.org/10.1016/j.isprsjprs.2022.11.019Needle in a haystack: feasibility of identifying small safety assets from point clouds using deep learning (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2023 (pp. 461-468) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Anjanappa, G., Nikoohemat, S., Oude Elberink, S., Vôute, R. L. & Lehtola, V. V.https://doi.org/10.5194/isprs-annals-X-1-W1-2023-461-2023

2022

Why it makes sense to use high cost sensors to do low cost sensor (2022)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Workshop LowCost 3D - Sensors, Algorithms, Applications (pp. 137-143) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Lehtola, V. V., Hyyti, H. & Malkamäki, T.https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-137-2022Digital twin of a city: Review of technology serving city needs (2022)International Journal of Applied Earth Observation and Geoinformation (JAG), 114. Article 102915. Lehtola, V. V., Koeva, M., Oude Elberink, S., Raposo, P., Virtanen, J.-p., Vahdatikhaki, F. & Borsci, S.https://doi.org/10.1016/j.jag.2022.102915Tropospheric wet tomography and PPP: Joint estimation from GNSS crowdsourcing data (2022)Advances in space research, 70(8), 2399-2411. Lehtola, V. V., Mäkelä, M., de Oliveira Marques, T. & Montloin, L.https://doi.org/10.1016/j.asr.2022.08.004Advances in Mobile Mapping Technologies (2022)[Book/Report › Book editing]. MDPI. Lehtola, V. V., Nüchter, A. & Goulette, F.https://www.mdpi.com/books/pdfview/book/5205Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle (2022)AI & society, 38(4), 1465-1484. Borsci, S., Lehtola, V. V., Nex, F. C., Yang, M. Y., Augustijn, P. W. M., Bagheriye, L., Brune, C., Kounadi, O., Li, J. J., Rebelo Moreira, J. L., Van der Nagel, J., Veldkamp, B. P., Le, D. V., Wang, M., Wijnhoven, F., Wolterink, J. M. & Zurita-Milla, R.https://doi.org/10.1007/s00146-021-01383-x

2021

Towards tropospheric delay estimation using GNSS smartphone receiver network (2021)Advances in space research, 68(12), 4794-4805. De Oliveira Marques, T., Mäkelä, M., Montloin, L., Lehtola, T., Thombre, S. & Lehtola, V. V.https://doi.org/10.1016/j.asr.2020.09.041

Research profiles

Address

University of Twente

Langezijds (building no. 19), room 1308
Hallenweg 8
7522 NH Enschede
Netherlands

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