Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alberto Dallolio"'
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
Over the last few decades, acoustic fish telemetry has developed into a viable approach for remote monitoring of fish behaviour in the marine environment. Simultaneously, unmanned surface and underwater vehicles have found extensive use as scalable,
Externí odkaz:
https://doaj.org/article/1d4a8db8a75446e8861fd89f3bbd6616
Autor:
Alberto Dallolio, Gara Quintana-Diaz, Evelyn Honoré-Livermore, Joseph L. Garrett, Roger Birkeland, Tor A. Johansen
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3229 (2021)
Traditional tools and methodologies for mesoscale observation of oceanographic phenomena are limited by under-sampling and data latency. In this article we evaluate three different scenario variants of an architecture for how heterogeneous sensor nod
Externí odkaz:
https://doaj.org/article/69fbd8ef46fa4e2fa44fa8d887bbddbe
Publikováno v:
Field Robotics. 3:392-412
This article presents the experience gathered on a 19-day-long field campaign with the wave-propelled, solar-powered, autonomous surface vehicle AutoNaut. The operation was conducted in Frohavet, a semienclosed sea along the Atlantic coast of Central
Publikováno v:
IFAC-PapersOnLine. 54:188-194
Knowledge of the amplitude and frequency of sea waves is useful to characterize the sea state, and increases the situational awareness as perceived by unmanned marine crafts. The ability to adapt navigation control parameters according to the current
Publikováno v:
Field Robotics
Unlike common marine vessels, wave-propelled vehicles cannot directly control their speed, but rely instead on the forces exerted by the environment to navigate as intended. The unique navigation capabilities of such vehicles motivate the study of co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9da0ac0dd973eb407408f12588afeb76
https://hdl.handle.net/11250/3017881
https://hdl.handle.net/11250/3017881
Publikováno v:
111618-111618
Ocean Engineering
Ocean Engineering
The persistent observation of oceanographic phenomena is nowadays hampered by technological limitations, that prevent marine robotic platforms to autonomously execute scientific surveys for extended periods of time. The propulsion and course-over-gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2543e00065479a83435c83741637f0b
https://hdl.handle.net/11250/3051464
https://hdl.handle.net/11250/3051464
The assimilation of ocean temperature measurements into ocean models provides useful insights on how to design heterogeneous ocean observation systems. In systems of this kind, ocean models can be complemented with multiscale operational assets such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e0a646f52029662266b84b66d0b7057
https://hdl.handle.net/11250/3055529
https://hdl.handle.net/11250/3055529
Autor:
Roger Birkeland, Alberto Dallolio, Tor Arne Johansen, Evelyn Honoré-Livermore, Joseph L. Garrett, Gara Quintana-Diaz
Publikováno v:
Remote Sensing; Volume 13; Issue 16; Pages: 3229
Remote Sensing, Vol 13, Iss 3229, p 3229 (2021)
Remote Sensing, Vol 13, Iss 3229, p 3229 (2021)
Traditional tools and methodologies for mesoscale observation of oceanographic phenomena are limited by under-sampling and data latency. In this article we evaluate three different scenario variants of an architecture for how heterogeneous sensor nod