Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Louedec, Justin Le"'
Autor:
Rüdisser, Hannah Theresa, Weiss, Andreas Jeffrey, Louëdec, Justin Le, Amerstorfer, Ute V., Möstl, Christian, Davies, Emma E., Lammer, Helmut
This study investigates the impact of spacecraft positioning and trajectory on in situ signatures of coronal mass ejections (CMEs). Employing the 3DCORE model, a 3D flux rope model that can generate in situ profiles for any given point in space and t
Externí odkaz:
http://arxiv.org/abs/2405.03271
Autor:
Louëdec, Justin Le, Cielniak, Grzegorz
Publikováno v:
Computer Vision Systems. ICVS 2023. Lecture Notes in Computer Science, vol 14253
Selective robotic harvesting is a promising technological solution to address labour shortages which are affecting modern agriculture in many parts of the world. For an accurate and efficient picking process, a robotic harvester requires the precise
Externí odkaz:
http://arxiv.org/abs/2310.11333
Autor:
Louëdec, Justin Le, Cielniak, Grzegorz
In this paper, we propose to employ a Gaussian map representation to estimate precise location and count of 3D surface features, addressing the limitations of state-of-the-art methods based on density estimation which struggle in presence of local di
Externí odkaz:
http://arxiv.org/abs/2112.03736
Autor:
Louëdec, Justin Le, Cielniak, Grzegorz
Publikováno v:
Computers and Electronics in Agriculture, Volume 190, November 2021, 106374
Automation and robotisation of the agricultural sector are seen as a viable solution to socio-economic challenges faced by this industry. This technology often relies on intelligent perception systems providing information about crops, plants and the
Externí odkaz:
http://arxiv.org/abs/2111.13663
Publikováno v:
ACM Symposium On Eye Tracking Research & Applications (ETRA 2019), Jun 2019, Denver, United States.
This article reports on an investigation of the use of convolutional neural networks to predict the visual attention of chess players. The visual attention model described in this article has been created to generate saliency maps that capture hierar
Externí odkaz:
http://arxiv.org/abs/1904.08155