Profil

Fonder Michaël

Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids

Montefiore Institute

See author's contact details
Main Referenced Co-authors
Ernst, Damien  (5)
Fettweis, Xavier  (3)
Van Droogenbroeck, Marc  (3)
Kittel, Christoph  (2)
Lambin, Clara  (2)
Main Referenced Keywords
UAV (4); Dataset (2); deep learning (2); depth estimation (2); Drone (2);
Main Referenced Unit & Research Centers
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège [BE] (3)
Telim (3)
Main Referenced Disciplines
Electrical & electronics engineering (2)
Energy (2)
Engineering, computing & technology: Multidisciplinary, general & others (2)
Earth sciences & physical geography (2)
Computer science (1)

Publications (total 8)

The most downloaded
1018 downloads
Ernst, D., Fettweis, X., Fonder, M., & Louis, J. (2020). Extreme engineering for fighting climate change and the Katabata project. https://hdl.handle.net/2268/251827

The most cited

48 citations (Scopus®)

Fonder, M., & Van Droogenbroeck, M. (2019). Mid-Air: A multi-modal dataset for extremely low altitude drone flights. IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, 553-562. doi:10.1109/CVPRW.2019.00081 https://hdl.handle.net/2268/234665

Fonder, M., Counotte, P., Dachet, V., de Séjournet, J., & Ernst, D. (15 March 2024). Synthetic methane for closing the carbon loop: Comparative study of three carbon sources for remote carbon-neutral fuel synthetization. Applied Energy, 358. doi:10.1016/j.apenergy.2023.122606
Peer Reviewed verified by ORBi

Fonder, M., & Van Droogenbroeck, M. (2023). A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles. In International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE. doi:10.1109/iwssip58668.2023.10180268
Peer reviewed

Fonder, M. (2023). Reliable monocular depth estimation for unmanned aerial vehicles [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/302405

Fonder, M., Ernst, D., & Van Droogenbroeck, M. (01 December 2022). Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments. Sensors, 22 (23), 1-22. doi:10.3390/s22239374
Peer Reviewed verified by ORBi

Lambin, C., Fettweis, X., Kittel, C., Fonder, M., & Ernst, D. (2022). Assessment of future wind speed and wind power changes over South Greenland using the MAR regional climate model. International Journal of Climatology. doi:10.1002/joc.7795
Peer Reviewed verified by ORBi

Lambin, C., Fettweis, X., Kittel, C., Fonder, M., & Ernst, D. (25 May 2022). Long term wind speed and wind power change analysis over South Greenland using the regional climate model MAR [Paper presentation]. EGU 2022.

Ernst, D., Fettweis, X., Fonder, M., & Louis, J. (2020). Extreme engineering for fighting climate change and the Katabata project.

Fonder, M., & Van Droogenbroeck, M. (2019). Mid-Air: A multi-modal dataset for extremely low altitude drone flights. IEEE Conference on Computer Vision and Pattern Recognition. Proceedings, 553-562. doi:10.1109/CVPRW.2019.00081
Peer reviewed

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