Search results
- 1.0536892 - ÚT 2021 RIV US eng C - Conference Paper (international conference)
Krejsa, Jiří - Věchet, Stanislav
Czech Sign Language Single Hand Alphabet Letters Classification.
Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020. New York: Institute of Electrical and Electronics Engineers Inc., 2020 - (Maga, D.; Hajek, J.), s. 1-341. ISBN 978-172815601-9.
[International Conference on Mechatronics - Mechatronika /19./. Praha (CZ), 02.12.2020-04.12.2020]
Institutional support: RVO:61388998
Keywords : Czech sign language * convolution neural network * classification
OECD category: Automation and control systems
https://ieeexplore.ieee.org/document/9286667
Permanent Link: http://hdl.handle.net/11104/0316609 - 2.0535189 - ÚT 2021 RIV CZ eng C - Conference Paper (international conference)
Krejsa, Jiří - Věchet, Stanislav
Classification of Czech sign language alphabet letters using cnn – preliminary study.
ENGINEERING MECHANICS 2020. Brno: Brno University of Technology Institute of Solid Mechanics, Mechatronics and Biomechanics, 2020 - (Fuis, V.), s. 310-313. ISBN 978-80-214-5896-3. ISSN 1805-8248.
[International Conference Engineering Mechanics 2020 /26./. Brno (CZ), 24.11.2020-25.11.2020]
Institutional support: RVO:61388998
Keywords : classification * sign language * convolution neural network
OECD category: Robotics and automatic control
Permanent Link: http://hdl.handle.net/11104/0316611 - 3.0508666 - ÚT 2020 RIV CZ eng C - Conference Paper (international conference)
Krejsa, Jiří - Věchet, Stanislav
Utilization of Convolution Neural Network Based Road Detection in Mobile Robot Localization.
Engineering mechanics 2019. Book of full texts. Prague: Institute of Thermomechanics of the Czech Academy of Sciences, 2019 - (Zolotarev, I.; Radolf, V.), s. 203-206. ISBN 978-80-87012-71-0. ISSN 1805-8248.
[Engineering mechanics 2019 /25./. Svratka (CZ), 13.05.2019-16.05.2019]
Institutional support: RVO:61388998
Keywords : convolution neural network * localization * road detection
OECD category: Robotics and automatic control
Permanent Link: http://hdl.handle.net/11104/0304917