Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mariusz Wisniewski"'
Publikováno v:
Sensors, Vol 24, Iss 23, p 7762 (2024)
The use of drones or Unmanned Aerial Vehicles (UAVs) and other flying vehicles has increased exponentially in the last decade. These devices pose a serious threat to helicopter pilots who constantly seek to maintain situational awareness while flying
Externí odkaz:
https://doaj.org/article/bea87d5b34b34afbbbfea61757d1dbdb
Publikováno v:
Drones, Vol 8, Iss 6, p 235 (2024)
Pan–tilt–zoom cameras are commonly used for surveillance applications. Their automation could reduce the workload of human operators and increase the safety of airports by tracking anomalous objects such as drones. Reinforcement learning is an ar
Externí odkaz:
https://doaj.org/article/7ff682272c914a4ba28a6d5f2b976a76
Publikováno v:
Journal of Imaging, Vol 8, Iss 8, p 218 (2022)
We present a convolutional neural network (CNN) that identifies drone models in real-life videos. The neural network is trained on synthetic images and tested on a real-life dataset of drone videos. To create the training and validation datasets, we
Externí odkaz:
https://doaj.org/article/5069257164dd47d69d936d85aa659356
Publikováno v:
Mathematics, Vol 9, Iss 23, p 3048 (2021)
Visual navigation is an essential part of planetary rover autonomy. Rock segmentation emerged as an important interdisciplinary topic among image processing, robotics, and mathematical modeling. Rock segmentation is a challenging topic for rover auto
Externí odkaz:
https://doaj.org/article/1f664b23c9124184aef54f4e512f521f
Reliable detection and tracking of objects using pan-tilt-zoom (PTZ) cameras is an unsolved problem. We attempt to answer whether the use of reinforcement learning (RL) is an appropriate tool for solving it. We present an environment for training RL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51e03d4c26b51428396a50aeccf94e59
https://dspace.lib.cranfield.ac.uk/handle/1826/19616
https://dspace.lib.cranfield.ac.uk/handle/1826/19616
Publikováno v:
Journal of Imaging; Volume 8; Issue 8; Pages: 218
We present a convolutional neural network (CNN) that identifies drone models in real-life videos. The neural network is trained on synthetic images and tested on a real-life dataset of drone videos. To create the training and validation datasets, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19ff78afad806c6e840e44e466493185
We present a convolutional neural network model that correctly identifies drone models in real-life video streams of flying drones. To achieve this, we show a method of generating synthetic drone images. To create a diverse dataset, the simulation pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae66f220b337039d8908f9f96be080fb
https://dspace.lib.cranfield.ac.uk/handle/1826/17506
https://dspace.lib.cranfield.ac.uk/handle/1826/17506
Publikováno v:
Mathematics; Volume 9; Issue 23; Pages: 3048
Mathematics, Vol 9, Iss 3048, p 3048 (2021)
Mathematics, Vol 9, Iss 3048, p 3048 (2021)
Visual navigation is an essential part of planetary rover autonomy. Rock segmentation emerged as an important interdisciplinary topic among image processing, robotics, and mathematical modeling. Rock segmentation is a challenging topic for rover auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7507f80ea5cdcf37d8a9e58f55d6a6b1
https://doi.org/10.3390/math9233048
https://doi.org/10.3390/math9233048
Autor:
Mariusz Wisniewski, Miroslaw Wcislik
Publikováno v:
IFAC-PapersOnLine. 49:342-345
The paper deals with method of designing of a digital equalizer for analog signal path with ADC and low-order low-pass filter on its front. The correction effect is achieved through use of the IIR digital filters, designed in equalization purposes of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7260f18438e1d8f4553f280f4cd5f707
https://doi.org/10.1016/j.ifacol.2016.12.062
https://doi.org/10.1016/j.ifacol.2016.12.062
Publikováno v:
Mobile Web Information Systems ISBN: 9783642402753
MobiWIS
MobiWIS
Many systems require access to very large amounts of data to properly function, like systems allowing to visualize or predict meteorological changes in a country over a given period of time, or any other system holding, processing and displaying scie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9baa95a45f24c4e7f1b66c228a3ad355
https://doi.org/10.1007/978-3-642-40276-0_14
https://doi.org/10.1007/978-3-642-40276-0_14