Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Tomasz Kryjak"'
Autor:
Krzysztof Blachut, Tomasz Kryjak
Publikováno v:
Sensors, Vol 22, Iss 13, p 5017 (2022)
The information about optical flow, i.e., the movement of pixels between two consecutive images from a video sequence, is used in many vision systems, both classical and those based on deep neural networks. In some robotic applications, e.g., in auto
Externí odkaz:
https://doaj.org/article/f82f51ec3efa4fbdaaa066e59e8e2916
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 12, Iss 2, p 30 (2022)
Object detection is an essential component of many systems used, for example, in advanced driver assistance systems (ADAS) or advanced video surveillance systems (AVSS). Currently, the highest detection accuracy is achieved by solutions using deep co
Externí odkaz:
https://doaj.org/article/91d3ca359abc499d9f0f6fb7a22e1081
Publikováno v:
Pomiary Automatyka Robotyka. 27:79-84
This paper proposes the use of an event camera as a component of a vision system that enables counting of fast-moving objects – in this case, falling corn grains. These cameras transmit, in an asynchronous manner, information about the change in br
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f900937c5056d74d711305f3dd070e8
https://doi.org/10.14313/par_247/79
https://doi.org/10.14313/par_247/79
Autor:
Tomasz Kryjak, Pawel Skruch
Publikováno v:
ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA. 1:72-76
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d616934d8f0b943f1a14911d4ceefa6e
https://doi.org/10.15199/13.2022.11.12
https://doi.org/10.15199/13.2022.11.12
Autor:
Bartłomiej Hebda, Tomasz Kryjak
Publikováno v:
Annals of computer science and information systems, Vol 8, Pp 787-790 (2016)
Externí odkaz:
https://doaj.org/article/1556425567bf43359a28ac07845809d9
Autor:
Tomasz Kryjak, Dominika Przewłocka-Rus
Publikováno v:
Bio-Algorithms and Med-Systems. 18:29-38
Objectives In this paper the research on developing convolutional spiking neural networks for traffic signs classification is presented. Unlike classical ones, spiking networks reflect the behaviour of biological neurons much more closely, by taking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34673dd4f029c2548e6de225b19e54e3
https://doi.org/10.1515/bams-2021-0159
https://doi.org/10.1515/bams-2021-0159
Autor:
Krzysztof Błachut, Mateusz Wąsala, Tomasz Kryjak, Michał Daniłowicz, Mateusz Komorkiewicz, Hubert Szolc
Publikováno v:
Journal of Signal Processing Systems. 94:675-692
Testing and evaluation of an automotive perception system is a complicated task which requires special equipment and infrastructure. To compute key performance indicators and compare the results with real-world situation, some additional sensors and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7668de6568f2c0f05202cb2e8537d47
https://doi.org/10.1007/s11265-021-01734-3
https://doi.org/10.1007/s11265-021-01734-3
Autor:
Tomasz Kryjak, Mariusz Grabowski
In this paper, we propose a real-time FPGA implementation of the Semi-Global Matching (SGM) stereo vision algorithm. The designed module supports a 4K/Ultra HD (3840 x 2160 pixels @ 30 frames per second) video stream in a 4 pixel per clock (ppc) form
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34a2ce56ab2634081795b66f363937f2
Autor:
Mariusz Grabowski, Tomasz Kryjak
Publikováno v:
Design and Architecture for Signal and Image Processing ISBN: 9783031299698
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2304189bd25649914ed253a367d2f0de
https://doi.org/10.1007/978-3-031-29970-4_6
https://doi.org/10.1007/978-3-031-29970-4_6
Autor:
Tomasz Kryjak, Dominika Przewłocka-Rus
Publikováno v:
Computer Vision and Graphics ISBN: 9783031220241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5e758e9a7da81bc64c3222237462e7a
https://doi.org/10.1007/978-3-031-22025-8_16
https://doi.org/10.1007/978-3-031-22025-8_16