Expertises
Engineering & Materials Science
# Antennas
# Deep Learning
# Disasters
# Unmanned Aerial Vehicles (Uav)
Earth & Environmental Sciences
# Damage
# Detection
# Imagery
# Vehicle
Verbonden aan
Nevenactiviteiten
-
CNR - IRPI (Italian Research Council)
Research associate - CNR IRPI (Italy)
Publicaties
Recent
Zhang, N.
, Nex, F. C.
, Vosselman, G.
, & Kerle, N. (2023).
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation. In
CVPR 2023 (pp. 18537-18546)
https://openaccess.thecvf.com/content/CVPR2023/html/Zhang_Lite-Mono_A_Lightweight_CNN_and_Transformer_Architecture_for_Self-Supervised_Monocular_CVPR_2023_paper.html
Alsadik, B.
, Dadrass Javan, F.
, & Nex, F. C. (2023).
UAV Remote Sensing for Smart Agriculture.
GIM International,
2023(1), 14-17. [issue 7 volume 36].
Karam, S.
, Nex, F., Chidura, B. T.
, & Kerle, N. (2022).
Microdrone-Based Indoor Mapping with Graph SLAM.
Drones,
6(11), 1-26. [352].
https://doi.org/10.3390/drones6110352
Alsadik, B., Remondino, F.
, & Nex, F. (2022).
Simulating a hybrid acquisition system for UAV platforms.
Drones,
6(11).
https://doi.org/10.3390/drones6110314
Mwangangi, K. K., Mc'okeyo, P. O.
, Oude Elberink, S. J.
, & Nex, F. (2022).
Exploring the potentials of UAV photogrammetric point clouds in facade detection and 3D reconstruction of buildings. In A. Yilmaz, J. D. Wegner, R. Qin, F. Remondino, T. Fuse, & I. Toschi (Eds.),
XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”: Commission II (B2-2022 ed., Vol. 43, pp. 433-440). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus.
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-433-2022
Tilon, S.
, Nex, F.
, Vosselman, G., Llave, I. S. D. L.
, & Kerle, N. (2022).
Towards improved unmanned aerial vehicle edge intelligence: a road infrastructure monitoring case study.
Remote sensing,
14(16), [4008].
https://doi.org/10.3390/rs14164008
Zhang, N.
, Nex, F. C.
, Vosselman, G.
, & Kerle, N. (2022).
Training a disaster victim detection network for UAV search and rescue using harmonious composite images.
Remote sensing,
14(13), 1-19. [2977].
https://doi.org/10.3390/rs14132977
Karam, S.
, Nex, F. C., Karlsson, O., Rydell, J., Bilock, E., Tulldahl, M.
, Kerle, N., & Holmberg, M. (2022).
Micro and macro quadcopter drones for indoor mapping to support disaster management. In S. Hinz, R. Q. Feitosa, M. Weinmann, & B. Jutzi (Eds.),
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. Volume V-1-2022, pp. 203-210). (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus.
https://doi.org/10.5194/isprs-annals-v-1-2022-203-2022
Zhang, N.
, Nex, F. C.
, Vosselman, G.
, & Kerle, N. (2022).
Unsupervised harmonious image composition for disaster victim detection. In
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Congress “Imaging today, foreseeing tomorrow”, Commission III (B3-2022 ed., Vol. 43, pp. 1189–1196). (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information ). Copernicus.
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022
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. [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/10.3990/1.9789036553032
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
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
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
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Vakken Collegejaar 2022/2023
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken Collegejaar 2021/2022
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
(gebouwnr. 19), kamer 1225
Hallenweg 8
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
1225
Postbus 217
7500 AE Enschede