prof.dr.ing. F.C. Nex (Francesco)

Adjunct Professor
ITC-EOS
Langezijds 1225
f.nex@utwente.nl
+31534896639
Business card

Prof. Francesco Nex is currently Associate (UHD1) Professor in the Earth Observation Science (EOS) Department at the University of Twente.

Francesco Nex received his master degree in Environmental Engineering (2006) and his PhD degree (2010) from the TU Turin (Italy). From 2011 to 2015 he was with the 3DOM unit of FBK (Italy) working as Marie-Curie Post-Doc from 2011 to 2014 and then as Researcher. In 2015, Francesco moved to the University of Twente, where he worked as Assistant and then Associate Professor at the faculty of Geo-Information Science and Earth Observation (ITC). His research focuses on fusing elements from photogrammetry , deep learning and robotics to develop innovative solutions for Geomatics applications. Francesco is author of over 150 publications in international journals and conferences. He is/was involved in several European and national research projects dealing with UAV data processing. He is leading the UAV centre of the ITC Faculty. He is the Chairman of the ICWG I/II (Unmanned Aerial Vehicles: sensors and applications) of the ISPRS (International Society of Photogrammetry and Remote Sensing) and he was the PI of three ISPRS scientific initiatives. He has been serving in different roles on the Editorial boards of three indexed journals. In 2020, he was awarded with the ISPRS President’s Honorary Citation and the E.H. Thomson Award.

Expertise

  • Earth and Planetary Sciences

    • Image
    • Datum
    • Pilotless Aircraft
    • Damage
    • Accuracy
    • Building

  • Computer Science

    • Detection
    • Unmanned Aerial Vehicle

Organisations

Publications

2024
Automatic Road Pavement Distress Recognition Using Deep Learning Networks from Unmanned Aerial Imagery, Article 244. Samadzadegan, F., Dadrass Javan, F., Ashtari Mahini, F., Gholamshahi, M. & Nex, F.https://doi.org/10.3390/drones8060244End-to-End Nano-Drone Obstacle Avoidance for Indoor Exploration, Article 33. Zhang, N., Nex, F. C., Vosselman, G. & Kerle, N.https://doi.org/10.3390/drones8020033Towards Fully Autonomous UAV: Damaged Building-Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue, Article 558, 1-17. Surojaya, A., Zhang, N., Bergado, J. R. & Nex, F.https://doi.org/10.3390/electronics13030558
2023
Dense point cloud extraction from UAV imagery using parallax attentionIn ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2023 (pp. 1027-1032). Copernicus. Bergado, J. R. & Nex, F. C.https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1027-2023Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMUIn ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 439-445). Copernicus. Udugama, U. V. B. L., Vosselman, G. & Nex, F.https://doi.org/10.5194/isprs-annals-X-1-W1-2023-439-2023Supporting first responders in emergencies using computer vision and drones. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Zhang, N.https://doi.org/10.3990/1.9789036558440A Routine and Post-disaster Road Corridor Monitoring Framework for the Increased Resilience of Road Infrastructures. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Tilon, S. M.https://doi.org/10.3990/1.9789036557115Hybrid adjustment of UAS-based LiDAR and image dataIn The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2023 (pp. 633-640). Copernicus. Alsadik, B., Nex, F. & Yadav, Y.https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth EstimationIn CVPR 2023 (pp. 18537-18546). Zhang, N., Nex, F. C., Vosselman, G. & Kerle, N.https://doi.org/10.1109/CVPR52729.2023.01778Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMU. ArXiv.org. Udugama, U. V. B. L., Vosselman, G. & Nex, F.https://doi.org/10.48550/arXiv.2308.05515UAV Remote Sensing for Smart Agriculture, Article issue 7 volume 36, 14-17. Alsadik, B., Dadrass Javan, F. & Nex, F. C.Empowering students with geospatial solutions through challenge-based learningIn SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (pp. 315-324). Societe Europeenne pour la Formation des Ingenieurs (SEFI). Dadrass Javan, F., Nex, F., Samadzadegan, F., Alsadik, B., Buuk, L. & Askari, O.https://doi.org/10.21427/H6EN-NS11
2022
Microdrone-Based Indoor Mapping with Graph SLAM, Article 352, 1-26. Karam, S., Nex, F., Chidura, B. T. & Kerle, N.https://doi.org/10.3390/drones6110352Simulating a hybrid acquisition system for UAV platforms. Alsadik, B., Remondino, F. & Nex, F.https://doi.org/10.3390/drones6110314Towards improved unmanned aerial vehicle edge intelligence: a road infrastructure monitoring case study, Article 4008. Tilon, S., Nex, F., Vosselman, G., Llave, I. S. d. l. & Kerle, N.https://doi.org/10.3390/rs14164008Training a disaster victim detection network for UAV search and rescue using harmonious composite images, Article 2977, 1-19. Zhang, N., Nex, F. C., Vosselman, G. & Kerle, N.https://doi.org/10.3390/rs14132977Unsupervised harmonious image composition for disaster victim detectionIn The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Congress “Imaging today, foreseeing tomorrow”, Commission III (pp. 1189–1196). Copernicus. Zhang, N., Nex, F. C., Vosselman, G. & Kerle, N.https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022Exploring the potentials of UAV photogrammetric point clouds in facade detection and 3D reconstruction of buildingsIn XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”: Commission II (pp. 433-440). Copernicus. Mwangangi, K. K., Mc'okeyo, P. O., Oude Elberink, S. J. & Nex, F.https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-433-2022Micro and macro quadcopter drones for indoor mapping to support disaster managementIn ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 203-210). Copernicus. Karam, S., Nex, F. C., Karlsson, O., Rydell, J., Bilock, E., Tulldahl, M., Kerle, N. & Holmberg, M.https://doi.org/10.5194/isprs-annals-v-1-2022-203-2022CNN-based dense monocular visual SLAM for real-time UAV exploration in emergency conditions, Article 79, 1-15. Steenbeek, A. & Nex, F.https://doi.org/10.3390/drones6030079Scaling up UAVs for land administration: Towards the plateau of productivity, Article 105930. Stöcker, C., Bennett, R., Koeva, M. N., Nex, F. C. & Zevenbergen, J. A.https://doi.org/10.1016/j.landusepol.2021.105930UAV in the advent of the twenties: Where we stand and what is next, 215-242. Nex, F., Armenakis, C., Cramer, M., Cucci, D. A., Gerke, M., Honkavaara, E., Kukko, A., Persello, C. & Skaloud, J.https://doi.org/10.1016/j.isprsjprs.2021.12.006Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. 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-xLISU: Low-light indoor scene understanding with joint learning of reflectance restoration, 470-481. Zhang, N., Nex, F. C., Kerle, N. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2021.11.010
2021
Unmanned aerial vehicle mapping for responsible land administration. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Stöcker, C.https://doi.org/10.3990/1.9789036553032

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Langezijds (building no. 19), room 1225
Hallenweg 8
7522 NH Enschede
Netherlands

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