Josef Zelinka, Milos Prágr, Rudolf J. Szadkowski, Jan Bayer, Jan Faigl. Deep Transfer Learning of Traversability Assessment for Heterogeneous Robots. In Lucie Ciencialová, Martin Holena, Robert Jajcay, Tatiana Jajcayová, Frantisek Mráz, Dana Pardubská, Martin Plátek, editors, Proceedings of the 22nd Conference Information Technologies - Applications and Theory (ITAT 2022), Zuberec, Slovakia, September 23-27, 2022. Volume 3226 of CEUR Workshop Proceedings, pages 12-20, CEUR-WS.org, 2022. [doi]
@inproceedings{ZelinkaPSBF22,
title = {Deep Transfer Learning of Traversability Assessment for Heterogeneous Robots},
author = {Josef Zelinka and Milos Prágr and Rudolf J. Szadkowski and Jan Bayer and Jan Faigl},
year = {2022},
url = {http://ceur-ws.org/Vol-3226/paper1.pdf},
researchr = {https://researchr.org/publication/ZelinkaPSBF22},
cites = {0},
citedby = {0},
pages = {12-20},
booktitle = {Proceedings of the 22nd Conference Information Technologies - Applications and Theory (ITAT 2022), Zuberec, Slovakia, September 23-27, 2022},
editor = {Lucie Ciencialová and Martin Holena and Robert Jajcay and Tatiana Jajcayová and Frantisek Mráz and Dana Pardubská and Martin Plátek},
volume = {3226},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}