Matches in SemOpenAlex for { <https://semopenalex.org/work/W2765590462> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W2765590462 abstract "Autonomous underwater vehicles (AUVs) are used to execute an increasingly challenging set of missions in commercial, environmental and defense industries. The resources available to the AUV in service of these missions are typically a limited power supply and onboard sensing of its local environment. Optimal path planning is needed to maximize the chances that these AUVs will successfully complete long-endurance missions within their power budget. A time-optimal path planner has been recently developed to minimize AUV mission time required to traverse a dynamic ocean environment at a specified speed through the water. For many missions, time minimization is appropriate because the AUVs operate at a fixed propeller speed. However, the ultimate limiting constraint on AUV operations is often the onboard power supply, rather than mission time. While an empirical or theoretical relationship between mission time and power could be applied to estimate power usage in the path planner, the real power usage and availability on an AUV varies mission-to-mission, as a result of multiple factors, including vehicle buoyancy, battery charge cycle, fin configuration, and water type or quality. In this work, we use data collected from two mid-size AUVs operating in various conditions to learn the mission-to-mission variability in the power budget so that it could be incorporated into the mission planner." @default.
- W2765590462 created "2017-11-10" @default.
- W2765590462 creator A5009234445 @default.
- W2765590462 creator A5017817498 @default.
- W2765590462 creator A5023813036 @default.
- W2765590462 creator A5025447699 @default.
- W2765590462 creator A5027146475 @default.
- W2765590462 creator A5057087978 @default.
- W2765590462 creator A5057859296 @default.
- W2765590462 creator A5062670983 @default.
- W2765590462 creator A5076749495 @default.
- W2765590462 creator A5091480964 @default.
- W2765590462 date "2017-06-01" @default.
- W2765590462 modified "2023-09-25" @default.
- W2765590462 title "Data-driven learning and modeling of AUV operational characteristics for optimal path planning" @default.
- W2765590462 cites W1092373588 @default.
- W2765590462 cites W1542112886 @default.
- W2765590462 cites W1864235748 @default.
- W2765590462 cites W1973573057 @default.
- W2765590462 cites W1975183711 @default.
- W2765590462 cites W2007408517 @default.
- W2765590462 cites W2033237147 @default.
- W2765590462 cites W2058643954 @default.
- W2765590462 cites W2071099748 @default.
- W2765590462 cites W2084113595 @default.
- W2765590462 cites W2100704341 @default.
- W2765590462 cites W2106353989 @default.
- W2765590462 cites W2109749443 @default.
- W2765590462 cites W2113014481 @default.
- W2765590462 cites W2166702347 @default.
- W2765590462 cites W2267184893 @default.
- W2765590462 cites W2518410338 @default.
- W2765590462 cites W2549017817 @default.
- W2765590462 cites W4240324316 @default.
- W2765590462 doi "https://doi.org/10.1109/oceanse.2017.8084779" @default.
- W2765590462 hasPublicationYear "2017" @default.
- W2765590462 type Work @default.
- W2765590462 sameAs 2765590462 @default.
- W2765590462 citedByCount "12" @default.
- W2765590462 countsByYear W27655904622017 @default.
- W2765590462 countsByYear W27655904622018 @default.
- W2765590462 countsByYear W27655904622020 @default.
- W2765590462 countsByYear W27655904622021 @default.
- W2765590462 countsByYear W27655904622022 @default.
- W2765590462 crossrefType "proceedings-article" @default.
- W2765590462 hasAuthorship W2765590462A5009234445 @default.
- W2765590462 hasAuthorship W2765590462A5017817498 @default.
- W2765590462 hasAuthorship W2765590462A5023813036 @default.
- W2765590462 hasAuthorship W2765590462A5025447699 @default.
- W2765590462 hasAuthorship W2765590462A5027146475 @default.
- W2765590462 hasAuthorship W2765590462A5057087978 @default.
- W2765590462 hasAuthorship W2765590462A5057859296 @default.
- W2765590462 hasAuthorship W2765590462A5062670983 @default.
- W2765590462 hasAuthorship W2765590462A5076749495 @default.
- W2765590462 hasAuthorship W2765590462A5091480964 @default.
- W2765590462 hasConcept C127413603 @default.
- W2765590462 hasConcept C13280743 @default.
- W2765590462 hasConcept C145424490 @default.
- W2765590462 hasConcept C154945302 @default.
- W2765590462 hasConcept C176809094 @default.
- W2765590462 hasConcept C199104240 @default.
- W2765590462 hasConcept C199360897 @default.
- W2765590462 hasConcept C19966478 @default.
- W2765590462 hasConcept C205649164 @default.
- W2765590462 hasConcept C2777735758 @default.
- W2765590462 hasConcept C41008148 @default.
- W2765590462 hasConcept C79403827 @default.
- W2765590462 hasConcept C81074085 @default.
- W2765590462 hasConcept C90509273 @default.
- W2765590462 hasConceptScore W2765590462C127413603 @default.
- W2765590462 hasConceptScore W2765590462C13280743 @default.
- W2765590462 hasConceptScore W2765590462C145424490 @default.
- W2765590462 hasConceptScore W2765590462C154945302 @default.
- W2765590462 hasConceptScore W2765590462C176809094 @default.
- W2765590462 hasConceptScore W2765590462C199104240 @default.
- W2765590462 hasConceptScore W2765590462C199360897 @default.
- W2765590462 hasConceptScore W2765590462C19966478 @default.
- W2765590462 hasConceptScore W2765590462C205649164 @default.
- W2765590462 hasConceptScore W2765590462C2777735758 @default.
- W2765590462 hasConceptScore W2765590462C41008148 @default.
- W2765590462 hasConceptScore W2765590462C79403827 @default.
- W2765590462 hasConceptScore W2765590462C81074085 @default.
- W2765590462 hasConceptScore W2765590462C90509273 @default.
- W2765590462 hasLocation W27655904621 @default.
- W2765590462 hasOpenAccess W2765590462 @default.
- W2765590462 hasPrimaryLocation W27655904621 @default.
- W2765590462 hasRelatedWork W1984493088 @default.
- W2765590462 hasRelatedWork W2045032773 @default.
- W2765590462 hasRelatedWork W2054603044 @default.
- W2765590462 hasRelatedWork W2402452436 @default.
- W2765590462 hasRelatedWork W2519588572 @default.
- W2765590462 hasRelatedWork W2601432431 @default.
- W2765590462 hasRelatedWork W2982486675 @default.
- W2765590462 hasRelatedWork W3122122033 @default.
- W2765590462 hasRelatedWork W3197207153 @default.
- W2765590462 hasRelatedWork W4376139466 @default.
- W2765590462 isParatext "false" @default.
- W2765590462 isRetracted "false" @default.
- W2765590462 magId "2765590462" @default.
- W2765590462 workType "article" @default.