Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Catherine R. Edwards"'
Autor:
Andrew M. Chiodi, Hristina Hristova, Gregory R. Foltz, Jun A. Zhang, Calvin W. Mordy, Catherine R. Edwards, Chidong Zhang, Christian Meinig, Dongxiao Zhang, Edoardo Mazza, Edward D. Cokelet, Eugene F. Burger, Francis Bringas, Gustavo Goni, Hyun-Sook Kim, Sue Chen, Joaquin Triñanes, Kathleen Bailey, Kevin M. O’Brien, Maria Morales-Caez, Noah Lawrence-Slavas, Shuyi S. Chen, Xingchao Chen
Publikováno v:
Frontiers in Marine Science, Vol 10 (2024)
On September 30, 2021, a saildrone uncrewed surface vehicle intercepted Hurricane Sam in the northwestern tropical Atlantic and provided continuous observations near the eyewall. Measured surface ocean temperature unexpectedly increased during the fi
Externí odkaz:
https://doaj.org/article/1c0dba306eab470e9cd842d9860485d9
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
A bounded cost path planning method is developed for underwater vehicles assisted by a data-driven flow modeling method. The modeled flow field is partitioned as a set of cells of piece-wise constant flow speed. A flow partition algorithm and a param
Externí odkaz:
https://doaj.org/article/3fb56688cc1f48808d5c527176132056
Predicting dissolved organic carbon concentration in a dynamic salt marsh creek via machine learning
Autor:
Andrew M. Snauffer, Megan E. Thompson, Christina J. Codden, Aron Stubbins, Zachary S. Tait, Catherine R. Edwards, Amy V. Mueller
Publikováno v:
Limnology and Oceanography: Methods. 19:81-95
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5617d1b99aca9602f47569abff9936b3
https://doi.org/10.1002/lom3.10406
https://doi.org/10.1002/lom3.10406
Publikováno v:
The 15th International Conference on Underwater Networks & Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a77469eadc23ce5334153088ca7bed71
https://doi.org/10.1145/3491315.3491331
https://doi.org/10.1145/3491315.3491331
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Frontiers in Robotics and AI
Frontiers in Robotics and AI
A bounded cost path planning method is developed for underwater vehicles assisted by a data-driven flow modeling method. The modeled flow field is partitioned as a set of cells of piece-wise constant flow speed. A flow partition algorithm and a param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::681be41e0589184fb55bc5e1c0374dda
https://www.frontiersin.org/articles/10.3389/frobt.2021.575267/full
https://www.frontiersin.org/articles/10.3389/frobt.2021.575267/full
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 18 (2021)
This article presents anomaly detection algorithms for marine robots based on their trajectories under the influence of unknown ocean flow. A learning algorithm identifies the flow field and estimates the through-water speed of a marine robot. By com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ab5e7ce001e5b32c81c54e4adc9a9b
https://doaj.org/article/3945a5b76f614f68aee5bd1f85d9f77d
https://doaj.org/article/3945a5b76f614f68aee5bd1f85d9f77d
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
Due to complex oceanic environments, underwater gliders typically must satisfy a variety of environmental conditions in order to complete high level objectives. Underwater navigation, for example, requires that a glider must periodically surface and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5ab2960a5331b7b241ce9f9a1c6696e
https://doi.org/10.1109/ieeeconf38699.2020.9389201
https://doi.org/10.1109/ieeeconf38699.2020.9389201
Publikováno v:
Estuarine, Coastal and Shelf Science. 265:107709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::710acbceced711508950ce6843b2758e
https://doi.org/10.1016/j.ecss.2021.107709
https://doi.org/10.1016/j.ecss.2021.107709
Publikováno v:
The International Journal of Robotics Research. 36:320-336
Since the motion of autonomous underwater vehicles is affected by ambient flow, knowledge of an environmental flow field can be used to improve the navigation of autonomous underwater vehicles. Due to imperfect knowledge of flow, the actual trajector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b42d0d0704fba4550f6c1579b834838
https://doi.org/10.1177/0278364917698747
https://doi.org/10.1177/0278364917698747
Publikováno v:
WUWNet
In this paper, we present a Long Short-Term Memory (LSTM)-based Kalman Filter for data assimilation of a 2D spatio-temporally varying depth-averaged ocean flow field for underwater glider path planning. The data source to the filter combines both the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21d1425b19a20c568bcdd6504313b632
https://doi.org/10.1145/3366486.3366522
https://doi.org/10.1145/3366486.3366522