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dr. V.V. Lehtola (Ville)

Assistant Professor

About Me

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.

Organisations

Research

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

Recent
Yue, H. , Lehtola, V., Wu, H. , Vosselman, G., Li, J., & Liu, C. (2024). Recognition of Indoor Scenes using 3D Scene Graphs. IEEE transactions on geoscience and remote sensing. https://doi.org/10.1109/TGRS.2024.3387556
Yue, H., Wu, H. , Lehtola, V., Wei, J., & Liu, C. (2024). Indoor functional subspace division from point clouds based on graph neural network. International Journal of Applied Earth Observation and Geoinformation, 127, Article 103656. https://doi.org/10.1016/j.jag.2024.103656
Anjanappa, G. , Nikoohemat, S. , Oude Elberink, S., Vôute, R. L. , & Lehtola, V. V. (2023). Needle in a haystack: feasibility of identifying small safety assets from point clouds using deep learning. In N. El-Sheimy, A. A. Abdelbary, N. El-Bendary, & Y. Mohasseb (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2023 (Vol. X-1/W1-2023, pp. 461-468). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-461-2023
Kang, Z., Wang, C. , Khoshelham, K. , & Lehtola, V. (2023). Editorial of theme issue “3D Modeling of Indoor Environments”. ISPRS journal of photogrammetry and remote sensing, 195, 220-221. https://doi.org/10.1016/j.isprsjprs.2022.11.019
Lehtola, V. V., Hyyti, H., & Malkamäki, T. (2022). Why it makes sense to use high cost sensors to do low cost sensor research. In A. Nüchter, P. Grussenmeyer, & T. Kersten (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. XLVIII-2/W1-2022, pp. 137-143). Copernicus. https://doi.org/10.5194/isprs-archives-xlviii-2-w1-2022-137-2022
Lehtola, V. V., Hyyti, H., & Malkamäki, T. (2022). Why it makes sense to use high cost sensors to do low cost sensor. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Workshop LowCost 3D - Sensors, Algorithms, Applications (2/W1-2022 ed., Vol. 48, pp. 137-143). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-137-2022
Lehtola, V. V., Mäkelä, M., de Oliveira Marques, T., & Montloin, L. (2022). Tropospheric wet tomography and PPP: Joint estimation from GNSS crowdsourcing data. Advances in space research, 70(8), 2399-2411. https://doi.org/10.1016/j.asr.2022.08.004
Lehtola, V. V. , Koeva, M. , Oude Elberink, S. , Raposo, P., Virtanen, J. , Vahdatikhaki, F. , & Borsci, S. (2022). Digital twin of a city: Review of technology serving city needs. International Journal of Applied Earth Observation and Geoinformation, 114, 102915. Article 102915. https://doi.org/10.1016/j.jag.2022.102915
Nikoohemat, S., Godoy, P., Valkhoff, N., Wouters-Van Leeuwen, M., Voûte, R. , & Lehtola, V. V. (2021). Point cloud based 3D models for agent based simulations in social distancing and evacuation. In N. Paparoditis, C. Mallet, F. Lafarge, M. Y. Yang, S. Zlatanova, S. Dragicevic, G. Sithole, G. Agugiaro, J. J. Arsanjani, P. Boguslawski, M. Breunig, M. A. Brovelli, S. Christophe, A. Coltekin, M. R. Delavar, M. Al Doori, E. Guilbert, C. C. Fonte, J. Haworth, U. Isikdag, I. Ivanova, Z. Kang, K. Khoshelham, M. Koeva, M. Kokla, Y. Liu, M. Madden, M. A. Mostafavi, G. Navratil, D. R. Paudyal, C. Pettit, A. Spano, E. Stefanakis, W. Tu, G. Vacca, L. Díaz-Vilariño, S. Wise, H. Wu, ... X. G. Zhou (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress "Imaging today, foreseeing tomorrow" (4 ed., Vol. 5, pp. 113-120). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021
Karam, S. (2021). Developing a SLAM-based backpack mobile mapping system for indoor mapping. [PhD Thesis - Research UT, graduation UT, Faculty of Geo-Information Science and Earth Observation, University of Twente]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036552561
Lehtola, V. V. , Nikoohemat, S., & Nüchter, A. (2021). Indoor 3D: Overview on scanning and reconstruction methods. In M. Werner, & Y.-Y. Chiang (Eds.), Handbook of Big Geospatial Data (pp. 55-97). Springer. https://doi.org/10.1007/978-3-030-55462-0_3
De Oliveira Marques, T., Mäkelä, M., Montloin, L., Lehtola, T., Thombre, S. , & Lehtola, V. V. (2021). Towards tropospheric delay estimation using GNSS smartphone receiver network. Advances in space research, 68(12), 4794-4805. https://doi.org/10.1016/j.asr.2020.09.041
Nikoohemat, S., Diakité, A. A. , Lehtola, V., Zlatanova, S. , & Vosselman, G. (2021). Consistency grammar for 3D indoor model checking. Transactions in GIS, 25(1), 189-212. https://doi.org/10.1111/tgis.12686
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. (2020). Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review. IEEE transactions on intelligent transportation systems, 1-20. https://doi.org/10.1109/TITS.2020.3023957
Karam, S. , Vosselman, G. , & Lehtola, V. V. (2020). Strategies to integrate IMU and LiDAR SLAM for indoor mapping. In N. Paparoditis, C. Mallet, F. Lafarge, S. Hinz, R. Feitosa, M. Weinmann, & B. Jutzi (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. V-1-2020, pp. 223-230). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. https://doi.org/10.5194/isprs-annals-v-1-2020-223-2020
Lehtola, V. V., & Montewka, J. (2020). Can AI become a salty seadog? Navigation News, 2020(July/August), 16-18.

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Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1308
Hallenweg 8
7522NH  Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  1308
P.O. Box 217
7500 AE Enschede
The Netherlands

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University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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