dr. V.V. Lehtola (Ville)

Lehtola, V. V., & Markkula, M. (2023). Can digital twin techniques serve city needs? European cities face sustainability challenges and more. GIM International, 37(2), 12-15. https://www.gim-international.com/content/article/can-digital-twin-techniques-serve-city-needs

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. 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. [102915]. https://doi.org/10.1016/j.jag.2022.102915

Lehtola, V. V., Nüchter, A., & Goulette, F. (Eds.) (2022). Advances in Mobile Mapping Technologies. MDPI. https://www.mdpi.com/books/pdfview/book/5205

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. E. L. , Veldkamp, B. P. , Le, D. V. , Wang, M. , Wijnhoven, F. , Wolterink, J. M. , & Zurita-Milla, R. (2022). Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI & society. https://doi.org/10.1007/s00146-021-01383-x, https://doi.org/10.1007/s00146-021-01383-x

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. , Lehtola, V. , & Vosselman, G. (2021). Simple loop closing for continuous 6DOF LIDAR&IMU graph SLAM with planar features for indoor environments. ISPRS journal of photogrammetry and remote sensing, 181, 413-426. https://doi.org/10.1016/j.isprsjprs.2021.09.020

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.

Karam, S. , Lehtola, V. , & Vosselman, G. (2019). Integrating a low-cost mems imu into a laser-based slam for indoor mobile mapping. In P. Grussenmeyer, A. Murtiyoso, H. Macher, & R. Assi (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 6th International Workshop LowCost 3D – Sensors, Algorithms, Applications (Vol. XLII-2/W17, pp. 149-156). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLII-2-W17-149-2019

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

Lehtola, V. V., Hyyti, H., Keränen, P., & Kostamovaara, J. (2019). Single photon lidar in mobile laser scanning: the sampling rate problem and initial solutions via spatial correlations. In F. Remondino, & M. Shortis (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Optical 3D Metrology (pp. 91-97). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLII-2-W18-91-2019

Lehtola, V. V., Montewka, J., Goerlandt, F., Guinness, R., & Lensu, M. (2019). Finding safe and efficient shipping routes in ice-covered waters: A framework and a model. Cold Regions Science and Technology, 165, 1-14. [102795]. https://doi.org/10.1016/j.coldregions.2019.102795