Langezijds

dr. V.V. Lehtola (Ville)

Assistant Professor
ITC-EOS
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.

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.

Expertise

  • Computer Science

    • Point Cloud
    • Models

  • 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 | 2019

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.2020.09.041Simple 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.2021.09.020Developing a SLAM-based backpack mobile mapping system for indoor mapping (2021)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Karam, S.https://doi.org/10.3990/1.9789036552561Point 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., Voûte, R. & Lehtola, V. V.https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021Indoor 3D: Overview on scanning and reconstruction methods (2021)In 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 checking (2021)Transactions in GIS, 25(1), 189-212. Nikoohemat, S., Diakité, A. A., Lehtola, V., Zlatanova, S. & Vosselman, G.https://doi.org/10.1111/tgis.12686

2020

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.2020.3023957Strategies 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-1-2020-223-2020Can AI become a salty seadog? (2020)Navigation News, 2020(July/August), 16-18. Lehtola, V. V. & Montewka, J.

2019

Inpainting occlusion holes in 3d built environment point clouds (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 6th International Workshop LowCost 3D – Sensors, Algorithms, Applications, (pp. 393-398) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Väänänen, P. & Lehtola, V.https://doi.org/10.5194/isprs-archives-XLII-2-W17-393-2019

Research profiles

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University of Twente

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

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