Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anete Vagale"'
Autor:
Anete Vagale
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 5, p 705 (2022)
Autonomous surface vehicles need to be at least as safe as conventional vessels, if not safer, when navigating on waters. With a great deal of navigation algorithms for surface vessels out there, the safety of their produced paths is questionable, an
Externí odkaz:
https://doaj.org/article/c5b91cd2d0f54a6b86a3f6f88a5ee4bb
Publikováno v:
Applied Computer Systems, Vol 26, Iss 2, Pp 150-157 (2021)
Deep neural networks are a tool for acquiring an approximation of the robot mathematical model without available information about its parameters. This paper compares the LSTM, stacked LSTM and phased LSTM architectures for time series forecasting. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8ac4e0aaa2ca6274182fa607470f5d0
https://doi.org/10.2478/acss-2021-0018
https://doi.org/10.2478/acss-2021-0018
Publikováno v:
Journal of Marine Science and Technology
Autonomous surface vehicles are gaining increasing attention worldwide due to the potential benefits of improving safety and efficiency. This has raised the interest in developing methods for path planning that can reduce the risk of collisions, grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f990cf9feda236aee3323f8495ad6cc
https://hdl.handle.net/11250/2979465
https://hdl.handle.net/11250/2979465
Publikováno v:
Journal of Marine Science and Technology
Artificial intelligence is an enabling technology for autonomous surface vehicles, with methods such as evolutionary algorithms, artificial potential fields, fast marching methods, and many others becoming increasingly popular for solving problems su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::631442b96766de07cbd81a5e3ae0c448
https://hdl.handle.net/11250/2980063
https://hdl.handle.net/11250/2980063
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
Improved safety while navigating on waters and reduction of collision risk is a vital part of the guidance, navigation and control system of an autonomous surface vehicle. Another problem is, how to compare the performance of existing path planning a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fef6caf4a7bf40d5fc216fc6372c6a1b
https://doi.org/10.1109/ieeeconf38699.2020.9389481
https://doi.org/10.1109/ieeeconf38699.2020.9389481
Publikováno v:
Applied Computer Systems
Applied Computer Systems, Vol 22, Iss 1, Pp 28-35 (2017)
Applied Computer Systems, Vol 22, Iss 1, Pp 28-35 (2017)
In the present paper, a new and improved visual sensor data fusion method is proposed that uses visible and far-infrared light sensors. Additionally, lux meter data are used for decision level fusion of beliefs of recognised target classes. The datab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a74e03bda747f0f6f72519d1b50a066
https://ortus.rtu.lv/science/lv/publications/26683
https://ortus.rtu.lv/science/lv/publications/26683
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::167febb1aa4f6a69146b16ba23ed16f4
http://www.scopus.com/inward/record.url?eid=2-s2.0-85048071564&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85048071564&partnerID=MN8TOARS