Zobrazeno 1 - 4
of 4
pro vyhledávání: '"João Gomes-Mota"'
Autor:
Susana de Almeida de Graaff, João Gomes-Mota, Francisco Azevedo, Nélio Teixeira Machado, Luis Campos-Pinto
REN – Rede Eléctrica Nacional, S.A., Portuguese Transmission System Operator (TSO), has been using LiDAR technology in their aerial inspections. The acquired three-dimensional data in this Power Line Maintenance System are automatically processed,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed4f38839da54788b26101cc4e8609e
https://hdl.handle.net/10362/20799
https://hdl.handle.net/10362/20799
Autor:
Maria Isabel Ribeiro, João Gomes-Mota
Publikováno v:
Robotics and Autonomous Systems. 31:17-30
This paper presents a two-layer mobile robot localisation solution based on a Laser Range Scanner applied on reconstructed 3D models. This solution encompasses a feature matching layer performing without an initial posture estimate; a second layer ba
Publikováno v:
2012 11th International Conference on Environment and Electrical Engineering.
Long series of field data obtained from exploitation and maintenance of electricity grids from 10kV to 400kV have shown the prevalence of environmental factors as the primary influence on the performance of over-head lines in Southwest Europe. Vegeta
Autor:
Vincent Dupourque, David C. Hogg, Erik Wolfart, M. Isabel Ribeiro, Kia Ng, Vítor Sequeira, Stuart Butterfield, João Pereira, Vitor Santos, João G. M. Gonçalves, David Leevers, João Gomes-Mota, Pedro Gil, Francisco Martinho Lopes, José Castro
Publikováno v:
Multimedia Applications, Services and Techniques — ECMAST'98 ISBN: 9783540645948
ECMAST
ECMAST
We describe an automated approach to the reconstruction of 3D interiors from laser range data and digital images. This is achieved using a scanning laser rangefinder and digital camera that are mounted on an autonomous mobile platform known as the AE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5d65fa1a8b8e6a5cf8974e625340c41
https://doi.org/10.1007/3-540-64594-2_82
https://doi.org/10.1007/3-540-64594-2_82