Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Carlos Sanchez-Belenguer"'
Publikováno v:
Virtual Reality.
This paper addresses the challenges of rendering massive indoor point clouds in Virtual Reality. In these kind of visualizations the point of view is never static, imposing the need of a one-shot (i.e. non-iterative) rendering strategy, in contrast w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f6d220d63ed38213c16efd954de678a
https://doi.org/10.1007/s10055-023-00766-3
https://doi.org/10.1007/s10055-023-00766-3
Publikováno v:
ICPR
In this paper we introduce a novel public dataset for developing and benchmarking indoor localization systems. We have selected and 3D mapped a set of representative indoor environments including a large office building, a conference room, a workshop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0ac53aee09eb82ae36b9f0898204589
https://doi.org/10.1109/icpr48806.2021.9413258
https://doi.org/10.1109/icpr48806.2021.9413258
Publikováno v:
ICRA
This paper presents a new technique to solve the Indoor Visual Place Recognition problem from the Deep Learning perspective. It consists on an image retrieval approach supported by a novel image similarity metric. Our work uses a 3D laser sensor moun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90b3755f40690802c46036f374d2328e
https://doi.org/10.1109/icra40945.2020.9196871
https://doi.org/10.1109/icra40945.2020.9196871
Publikováno v:
Robotics and Autonomous Systems. 123:103324
We present a robust Global Matching technique focused on 3D mapping applications using laser range-finders. Our approach works under the assumption that places can be recognized by analyzing the projection of the observed points along the gravity dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ac030427fde0cbe5d75b89d0805c678
https://doi.org/10.1016/j.robot.2019.103324
https://doi.org/10.1016/j.robot.2019.103324