dr. F.C. Nex (Francesco)

Dr. Francesco Nex is currently Associate 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 in the CIEM Project 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 120 publications in international journals and conferences. He is/was involved in several European and national research projects dealing with UAV data processing. 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 with different roles in 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.

Engineering & Materials Science

# Antennas
# Convolutional Neural Networks
# Damage Detection
# Deep Learning
# Unmanned Aerial Vehicles (Uav)

Earth & Environmental Sciences

# Damage
# Imagery
# Vehicle

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)

Steenbeek, A. , & Nex, F. (2022). CNN-based dense monocular visual SLAM for real-time UAV exploration in emergency conditions. Drones , 6(3), 1-15. [79]. https://doi.org/10.3390/drones6030079

Nex, F., Armenakis, C., Cramer, M., Cucci, D. A., Gerke, M., Honkavaara, E., Kukko, A. , Persello, C., & Skaloud, J. (2022). UAV in the advent of the twenties: Where we stand and what is next. ISPRS journal of photogrammetry and remote sensing, 184, 215-242. https://doi.org/10.1016/j.isprsjprs.2021.12.006

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

Stöcker, C., Bennett, R. , Koeva, M. N. , Nex, F. C. , & Zevenbergen, J. A. (2022). Scaling up UAVs for land administration: Towards the plateau of productivity. Land use policy, 114(105930), [105930]. https://doi.org/10.1016/j.landusepol.2021.105930

Zhang, N. , Nex, F. C. , Kerle, N. , & Vosselman, G. (2022). LISU: Low-light indoor scene understanding with joint learning of reflectance restoration. ISPRS journal of photogrammetry and remote sensing, 183, 470-481. https://doi.org/10.1016/j.isprsjprs.2021.11.010

Stöcker, C. (2021). Unmanned aerial vehicle mapping for responsible land administration. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036553032

Kumaar, S. , Lyu, Y. , Nex, F. , & Yang, M. Y. (2021). CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (pp. 13517-13524). (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 2021-May). IEEE. https://doi.org/10.1109/ICRA48506.2021.9560977

Nappo, N. , Mavrouli, O. , Nex, F. , van Westen, C., Gambillara, R., & Michetti, A. M. (2021). Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas. Engineering geology, 294, [106363]. https://doi.org/10.1016/j.enggeo.2021.106363

Alsadik, B. , & Nex, F. C. (2021). The Rise in UAV Inspections for Civil Infrastructure. GIM International. https://www.gim-international.com/content/article/the-rise-in-uav-inspections-for-civil-infrastructure

Zhang, N. , Nex, F. C. , Kerle, N. , & Vosselman, G. (2021). Towards Learning Low-Light Indoor Semantic Segmentation with Illumination-Invariant Features. In N. Paparoditis, C. Mallet, F. Lafarge, M. Y. Yang, A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, & I. Toschi (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (B2-2021 ed., Vol. XLIII-B2-2021, pp. 427-432). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021

Yang, M. Y., Kumaar, S. , Lyu, Y. , & Nex, F. (2021). Real-time Semantic Segmentation with Context Aggregation Network. ISPRS journal of photogrammetry and remote sensing, 178, 124-134. https://doi.org/10.1016/j.isprsjprs.2021.06.006

Balamuralidhar, N. , Tilon, S. , & Nex, F. (2021). MultEYE: Monitoring system for real-time vehicle detection, tracking and speed estimation from UAV imagery on edge-computing platforms. Remote sensing, 13(4), 1-24. [573]. https://doi.org/10.3390/rs13040573

Madhuanand, L. , Nex, F. , & Yang, M. Y. (2021). Self-supervised monocular depth estimation from oblique UAV videos. ISPRS journal of photogrammetry and remote sensing, 176, 1-14. https://doi.org/10.1016/j.isprsjprs.2021.03.024

Tilon, S. , Nex, F. , Kerle, N. , & Vosselman, G. (2020). Post-Disaster Building Damage Detection from Earth Observation Imagery using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks. Remote sensing, 12(24), 1-27. [4193]. https://doi.org/10.3390/rs12244193

Mc'okeyo, P. O. , Nex, F. , Persello, C. , & Vrieling, A. (2020). Automated Co-Registration of Intra-Epoch and Inter-Epoch Series of Multispectral Uav Images for Crop Monitoring. In N. Paparoditis, C. Mallet, F. Lafarge, S. Hinz, R. Feitosa, M. Weinmann, & B. Jutzi (Eds.), ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci (1 ed., Vol. 5, pp. 309-316). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-annals-V-1-2020-309-2020

González-Aguilera, D., Ruiz De Oña, E., López-Fernandez, L., Farella, E. M., Stathopoulou, E. K., Toschi, I., Remondino, F., Rodríguez-Gonzálvez, P., Hernández-López, D., Fusiello, A. , & Nex, F. (2020). Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications. In N. Paparoditis, C. Mallet, F. Lafarge, S. Kumar, P. L. N. Raju, S. P. Aggarwal, S. R. Reyes, M. Ustuner, F. Tsai, & V. Liesenberg (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (B5 ed., Vol. 43, pp. 213-219). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020

Stöcker, C. , Nex, F. , Koeva, M. , & Gerke, M. (2020). High-quality uav-based orthophotos for cadastral mapping: Guidance for optimal flight configurations. Remote sensing, 12(21), 1-23. [3625]. https://doi.org/10.3390/rs12213625

Kumaar, S. , Lyu, Y. , Nex, F. , & Yang, M. Y. (2020). CABiNet: Efficient context aggregation network for low-latency semantic segmentation. (pp. 1-8). (arXiv.org). arXiv.org. https://arxiv.org/abs/2011.00993

Tilon, S. M. , Nex, F. , Duarte, D. , Kerle, N. , & Vosselman, G. (2020). Infrastructure degradation and post-disaster damage detection using anomaly detecting Generative Adversarial Networks. In N. Paparoditis, C. Mallet, F. Lafarge, F. Remondino, I. Toschi, & T. Fuse (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress (Vol. V-2-2020, pp. 573-582). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020

Madhuanand, L. , Nex, F. , & Yang, M. Y. (2020). Deep learning for monocular depth estimation from UAV images. In N. Paparoditis, C. Mallet, F. Lafarge, F. Remondino, I. Toschi, & T. Fuse (Eds.), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress (Vol. V-2-2020, pp. 451-458). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-annals-V-2-2020-451-2020

Duarte, D. , Nex, F. , Kerle, N. , & Vosselman, G. (2020). Detection of seismic façade damages with multi-temporal oblique aerial imagery. GIScience & remote sensing, 57(5), 670-686. https://doi.org/10.1080/15481603.2020.1768768, https://doi.org/10.1080/15481603.2020.1768768

Ekaso, D. , Nex, F. , & Kerle, N. (2020). Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing. Geo-spatial information science, 23(2), 165-181. https://doi.org/10.1080/10095020.2019.1710437

Duarte, D. (2020). Debris, rubble piles and façade damage detection using multi-resolution optical remote sensing imagery. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036549400

Kerle, N. , Nex, F. C. , Gerke, M. , Duarte, D. A. , & Vetrivel, A. (2019). UAV-Based Structural Damage Mapping: A Review. ISPRS international journal of geo-information, 9(1), 1-21. [14]. https://doi.org/10.3390/ijgi9010014

Nex, F. , Duarte, D., Giulio Tonolo, F. , & Kerle, N. (2019). Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions. Remote sensing, 11(23), 1-17. [2765]. https://doi.org/10.3390/rs11232765, https://doi.org/10.3390/rs11232765

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