Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Afaroj Ahamad"'
Publikováno v:
IET Image Processing, Vol 16, Iss 9, Pp 2457-2466 (2022)
Abstract In this paper, a new algorithm that hardware acceleration has enabled to estimate floor regions in a single image for unmanned ground vehicle (UGV) robots is presented. In general, the cluttered indoor surroundings patterned floors, shadows,
Externí odkaz:
https://doaj.org/article/f3dac98afaeb4c8893f6d564290e7d43
Publikováno v:
Sensors, Vol 20, Iss 21, p 6133 (2020)
In this article, a new Binary Fully Convolutional Neural Network (B-FCN) based on Taguchi method sub-optimization for the segmentation of robotic floor regions, which can precisely distinguish floor regions in complex indoor environments is proposed.
Externí odkaz:
https://doaj.org/article/35a165b541774d538077a389c70768cd
Publikováno v:
Electronics; Volume 11; Issue 21; Pages: 3561
In the field of computer vision technology, deep learning of image processing has become an emerging research area. The semantic segmentation of an image is among the utmost essential and significant tasks in image-processing research, offering a wid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eef9a9ca9d36b9a1f1144e89bb05b087
Publikováno v:
2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::281f1b1278819d7ace7cfd2240c006fc
https://doi.org/10.1109/iet-iceta56553.2022.9971513
https://doi.org/10.1109/iet-iceta56553.2022.9971513
Publikováno v:
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e98a6bfbdbd9c7276ac03c9758b427b3
https://doi.org/10.1109/ispacs51563.2021.9650929
https://doi.org/10.1109/ispacs51563.2021.9650929
Publikováno v:
ICCE-TW
Climate change caused by the greenhouse effect derived from economic opportunities related to the productivity of 4.0. One of them is proposed in this paper can be applied to design a method of photo-sensing allow to measure certain aspects of intern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68c6b78d7799c44b467d3695496014b2
https://doi.org/10.1109/icce-taiwan49838.2020.9258251
https://doi.org/10.1109/icce-taiwan49838.2020.9258251