Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Monika Wysoczanska"'
Publikováno v:
IEEE Access, Vol 12, Pp 76367-76378 (2024)
Recent advances in visual representation learning allowed for the construction of a plethora of powerful features that are ready to use for numerous downstream tasks. Contrary to existing representation evaluations typically based on image or pixel-w
Externí odkaz:
https://doaj.org/article/297e4dc099694f6285cd3ebc5051520e
The paper presents a deep neural network-based method for global and local descriptors extraction from a point cloud acquired by a rotating 3D LiDAR. The descriptors can be used for two-stage 6DoF relocalization. First, a course position is retrieved
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae389142f7d2c659fa8459245655dd66
http://arxiv.org/abs/2110.12486
http://arxiv.org/abs/2110.12486
Publikováno v:
IJCNN
We introduce a discriminative multimodal descriptor based on a pair of sensor readings: a point cloud from a LiDAR and an image from an RGB camera. Our descriptor, named MinkLoc++, can be used for place recognition, re-localization and loop closure p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2d587c489ad9904e13e67b70e42ea0a
http://arxiv.org/abs/2104.05327
http://arxiv.org/abs/2104.05327
Publikováno v:
VISIGRAPP (5: VISAPP)
Scopus-Elsevier
Scopus-Elsevier
Publikováno v:
Neural Information Processing ISBN: 9783030922696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a1be9b3e0c8a1873cb964f283819c6
https://doi.org/10.1007/978-3-030-92270-2_39
https://doi.org/10.1007/978-3-030-92270-2_39
Autor:
Monika Wysoczanska, Tomasz Trzcinski
Publikováno v:
VISIGRAPP (5: VISAPP)
Publikováno v:
IPIN
Indoor positioning technologies are subject to serious research in recent years. Starting from low level inertial sensor based, through radio, magnetic or vision based solutions, ending on multiple sensors based fusions. All of the methods mentioned