Comparative Analysis of Classic Computer Vision Methods and Deep Convolutional Neural Networks for Floor Segmentation

Autor: Oleksiy Grechnyev, Pavlo Vyplavin, Anastasiia Skoryk, Yurii Chyrka, Ievgen Gorovyi

Publikováno v: 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).

In the paper, we analyze the problem of automatic room floor segmentation. For this purpose, we consider several classic computer vision algorithms as well as some of the deep convolutional neural network architectures. The segmentation results are i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a7e37b5a58ef296ea9d568180facfa79
https://doi.org/10.1109/dsmp47368.2020.9204339

Scientific and Technical Contributions from Research Projects

Autor: Pasquale Antuofermo, Stefano Roddaro, Pierre Charrue, L. Seravalli, P. Frigeri, Vitalii Lytvyn, Timothy Bechtel, Luigi Carnevale, G. Trevisi, L. Lazzarini, V. Palamarchuck, M. Bosi, Levente Tábi, Luka Snoj, D. Tatyanko, Bulat Rameev, Juan P. Martínez Pastor, O. Mishchenko, Noureddine Maamar, Israel Schechter, Zahra Sadre Momtaz, Fredrik Laurell, Stefano De Muro, Andrea Revilla-Cuesta, Chingiz Sultanov, C. Ferrari, N. Musayeva, Yu. Shiyan, Konstantin Lukin, José García-Calvo, P. Sushchenko, Lieutenant Colonel Luigi Cassioli, Bellada Amel, F. Rossi, Ivan Steker, Ihor Pavlov, Cristiano Stifini, Venceslav Kafedziski, Dusan Gleich, Stoiljkovic Milovan, Volodymyr I. Chegel, Gennadiy Pochanin, Valentin Kolobrodov, Teymur Orujov, Yuriy Serozhkin, Francesco Colao, Motoyuki Sato, Zdenka Babic, Emir Skejic, Laura Baldini, José Coutinho, Sergii K. Lukin, Francesco Rispoli, O. Zemlyanіy, İlhami Ünal, Mario Mustra, Graham A. Turnbull, Ivana Capan, Mohamed Lazoul, Mehmet Burcin Unlu, Takeshi Ohshima, Andrii M. Lopatynskyi, Francesco Sansone, Vladimir Radulović, Lorenzo Capineri, Sergey A. Piletsky, G. V. Mozzhukhin, E. Gombia, S. I. Tarapov, Pedro Rodríguez, Željko Pastuović, Tomislav Brodar, Rafael Abargues, Pavlo Vyplavin, G. Attolini, Gulnaz Gahramanova, L. Yurchenko, Bart Boonaker, Tomás Torroba, C. Frigeri, S. Beretta, Jean-Louis Coutaz, Frank Schnürer, Antonio Palucci, Rovshan Hasanov, Pasqualantonio Pingue

Publikováno v: NATO Science for Peace and Security Series B: Physics and Biophysics ISBN: 9789402417289

The main goal of this project is to demonstrate the advantages of sensor integration on a remotely controlled robotic platform for increasing operator safety and improving the classification of explosive targets. This is accomplished by combining the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ba96aef02dcb62aa06a397b24c9edbc
https://doi.org/10.1007/978-94-024-1729-6_2

Coherent radiometric imaging using antennas with beam synthesizing

Autor: Sergii K. Lukin, Konstantin Lukin, Pavlo Vyplavin, V. P. Palamarchuk, Volodymyr Kudriashov

Publikováno v: International Journal of Microwave and Wireless Technologies. 7:453-458

The paper is devoted to coherent radiometric imaging systems. The investigated systems may be considered as a version of bistatic noise waveform passive radar with synthetic aperture having external reference. Reference signal in this imaging system

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::29b06ea4f0568c3bd59f44d689ea10ff
https://doi.org/10.1017/s1759078715000550

COHERENT RADIOMETRIC IMAGING WITH A Ka-BAND GROUND-BASED SYNTHETIC APERTURE NOISE RADAR

Autor: K. A. Lukin, V.V. Kudryashov, Pavlo Vyplavin, V. P. Palamarchuk

Publikováno v: Telecommunications and Radio Engineering. 72:699-710

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f15522238c5ae5248fde5e6e52b7f385
https://doi.org/10.1615/telecomradeng.v72.i8.50

Millimeter-wave noise radar tomography

Autor: Sergiy Lukin, Vladimyr Palamarchuk, Peter Sushchenko, Oleg Zemlyaniy, Volodymyr Kudriashov, Lidiya Yurchenko, Nikolay Zaets, Andriy Shelekhov, Pavlo Vyplavin, Dmytro N. Tatyanko, Konstantin Lukin, Yulia Shyian

Publikováno v: 2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW).

SAR tomography based upon MIMO concept with channels time-division is described and some results of its experimental validation using Ka-band ground based noise waveform SAR are presented. Two different linear synthetic apertures have been used for b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::99fa349ee44eb4753be8fde1e97c321a
https://doi.org/10.1109/msmw.2016.7538207