Zobrazeno 1 - 10
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pro vyhledávání: '"Nunes, U."'
3D LiDAR-based place recognition remains largely underexplored in horticultural environments, which present unique challenges due to their semi-permeable nature to laser beams. This characteristic often results in highly similar LiDAR scans from adja
Externí odkaz:
http://arxiv.org/abs/2405.19038
Robust and reliable place recognition and loop closure detection in agricultural environments is still an open problem. In particular, orchards are a difficult case study due to structural similarity across the entire field. In this work, we address
Externí odkaz:
http://arxiv.org/abs/2303.00477
Autor:
Barros, T., Conde, P., Gonçalves, G., Premebida, C., Monteiro, M., Ferreira, C. S. S., Nunes, U. J.
Digital agriculture has evolved significantly over the last few years due to the technological developments in automation and computational intelligence applied to the agricultural sector, including vineyards which are a relevant crop in the Mediterr
Externí odkaz:
http://arxiv.org/abs/2108.01200
High resolution depth-maps, obtained by upsampling sparse range data from a 3D-LIDAR, find applications in many fields ranging from sensory perception to semantic segmentation and object detection. Upsampling is often based on combining data from a m
Externí odkaz:
http://arxiv.org/abs/1606.05614
Akademický článek
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Publikováno v:
Brazilian Journal of Biology; 2023, Vol. 83, p1-7, 7p
Akademický článek
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Publikováno v:
In IFAC Proceedings Volumes 2005 38(1):89-94
Autor:
Roso, R., Nunes, U. R., Müller, C. A., Paranhos, J. T., Lopes, S. J., Dornelles, S. H. B., Bertagnolli, C. M., Huth, C., Forte, C. T., Menegaes, J. F.
Publikováno v:
Brazilian Journal of Biology; 2021, Vol. 81 Issue 3, p650-656, 7p
Autor:
Goncalves Nunes, U, Demiris, Y
Publikováno v:
British Machine Vision Conference (BMVC 2018)
This paper addresses the problem of motion segmentation of articulated rigid bodies from a single-view RGB-D data sequence. Current methods either perform dense motion segmentation, and consequently are very computational demanding, or rely on sparse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::2634437de0d49a28f2713fe62aeed2d0
http://hdl.handle.net/10044/1/62595
http://hdl.handle.net/10044/1/62595