Dr. Ville Lehtola is Assistant Professor in the Earth Observation Science (EOS) Department at the University of Twente. The topic of his professorship is 'indoor and mobile mapping'.

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.

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.


My research homepage:


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



Indoor functional subspace division from point clouds based on graph neural networkInternational Journal of Applied Earth Observation and Geoinformation, 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 GraphsIEEE transactions on geoscience and remote sensing, 62, Article 5703216, 1-16 (E-pub ahead of print/First online). Yue, H., Lehtola, V., Wu, H., Vosselman, G., Li, J. & Liu, C.https://doi.org/10.1109/TGRS.2024.3387556
Why it makes sense to use high cost sensors to do low cost sensorIn International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Workshop LowCost 3D - Sensors, Algorithms, Applications (pp. 137-143). 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 needsInternational Journal of Applied Earth Observation and Geoinformation, 114, Article 102915, 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 dataAdvances 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. 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 cycleAI & society. 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 networkAdvances 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.2020.09.041Simple loop closing for continuous 6DOF LIDAR&IMU graph SLAM with planar features for indoor environmentsISPRS journal of photogrammetry and remote sensing, 181, 413-426. Karam, S., Lehtola, V. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2021.09.020Developing a SLAM-based backpack mobile mapping system for indoor mapping. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Karam, S.https://doi.org/10.3990/1.9789036552561Point cloud based 3D models for agent based simulations in social distancing and evacuationIn ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress "Imaging today, foreseeing tomorrow" (pp. 113-120). Copernicus. Nikoohemat, S., Godoy, P., Valkhoff, N., Wouters-Van Leeuwen, M., Voûte, R. & Lehtola, V. V.https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021Indoor 3D: Overview on scanning and reconstruction methodsIn Handbook of Big Geospatial Data (pp. 55-97). Springer. Lehtola, V. V., Nikoohemat, S. & Nüchter, A.https://doi.org/10.1007/978-3-030-55462-0_3Consistency grammar for 3D indoor model checkingTransactions in GIS, 25(1), 189-212. Nikoohemat, S., Diakité, 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 ReviewIEEE transactions on intelligent transportation systems, 1-20. 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.2020.3023957Strategies to integrate IMU and LiDAR SLAM for indoor mappingIn ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 223-230). Copernicus. Karam, S., Vosselman, G. & Lehtola, V. V.https://doi.org/10.5194/isprs-annals-v-1-2020-223-2020Can AI become a salty seadog?Navigation News, 2020(July/August), 16-18. Lehtola, V. V. & Montewka, J.
Inpainting occlusion holes in 3d built environment point cloudsIn The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 6th International Workshop LowCost 3D – Sensors, Algorithms, Applications, (pp. 393-398). International Society for Photogrammetry and Remote Sensing (ISPRS). Väänänen, P. & Lehtola, V.https://doi.org/10.5194/isprs-archives-XLII-2-W17-393-2019

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