Overview Research Education Contact
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 JyvÀskylÀ, 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 Computer Science Earth and Planetary Sciences Position (Location) Cartography Laser Scanner Scanning Datum 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: 2024 | 2023 | 2022 | 2021 | 2020
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.2024.103656 Recognition 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 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-needs Editorial of theme issue â3D Modeling of Indoor Environmentsâ (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.2022.11.019 Needle 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., VĂŽute, R. L. & Lehtola, V. V. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-461-2023 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. & MalkamĂ€ki, T. https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-137-2022 Digital 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.2022.102915 Tropospheric wet tomography and PPP: Joint estimation from GNSS crowdsourcing data (2022) Advances in space research, 70 (8), 2399-2411. Lehtola, V. V. , MĂ€kelĂ€, M., de Oliveira Marques, T. & Montloin, L.https://doi.org/10.1016/j.asr.2022.08.004 Advances in Mobile Mapping Technologies (2022) [Book/Report âș Book editing]. MDPI. Lehtola, V. V. , NĂŒchter, A. & Goulette, F. https://www.mdpi.com/books/pdfview/book/5205 Embedding 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 Towards tropospheric delay estimation using GNSS smartphone receiver network (2021) Advances in space research, 68 (12), 4794-4805. De Oliveira Marques, T., MĂ€kelĂ€, M., Montloin, L., Lehtola, T., Thombre, S. & Lehtola, V. V. https://doi.org/10.1016/j.asr.2020.09.041 Simple loop closing for continuous 6DOF LIDAR&IMU graph SLAM with planar features for indoor environments (2021) ISPRS journal of photogrammetry and remote sensing, 181 , 413-426. Karam, S., Lehtola, V. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2021.09.020 Developing a SLAM-based backpack mobile mapping system for indoor mapping (2021) [Thesis âș PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Karam, S. https://doi.org/10.3990/1.9789036552561 Point cloud based 3D models for agent based simulations in social distancing and evacuation (2021) In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress "Imaging today, foreseeing tomorrow" (pp. 113-120) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Nikoohemat, S., Godoy, P., Valkhoff, N., Wouters-Van Leeuwen, M., VoĂ»te, R. & Lehtola, V. V. https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021 Indoor 3D: Overview on scanning and reconstruction methods (2021) In Handbook of Big Geospatial Data (pp. 55-97). Springer. Lehtola, V. V. , Nikoohemat, S. & NĂŒchter, A. https://doi.org/10.1007/978-3-030-55462-0_3 Consistency grammar for 3D indoor model checking (2021) Transactions in GIS, 25 (1), 189-212. Nikoohemat, S., DiakitĂ©, A. A., Lehtola, V. , Zlatanova, S. & Vosselman, G.https://doi.org/10.1111/tgis.12686 Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review (2020) IEEE transactions on intelligent transportation systems, 23 (1), 64-83. Thombre, S., Zhao, Z., Ramm-schmidt, H., Garcia, J. M. V., Malkamaki, T., Nikolskiy, S., Hammarberg, T., Nuortie, H., Bhuiyan, M. Z. H., Sarkka, S. & Lehtola, V. V. https://doi.org/10.1109/TITS.2020.3023957 Strategies to integrate IMU and LiDAR SLAM for indoor mapping (2020) In XXIV ISPRS Congress, Commission I 2020 (pp. 223-230) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. V-1-2020). Copernicus. Karam, S., Vosselman, G. & Lehtola, V. V. https://doi.org/10.5194/isprs-annals-v-1-2020-223-2020 Can AI become a salty seadog? (2020) Navigation News, 2020 (July/August), 16-18. Lehtola, V. V. & Montewka, J.Research profiles Courses academic year 2025/2026 Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses academic year 2024/2025 Courses academic year 2023/2024 
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