Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387245314> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4387245314 endingPage "1" @default.
- W4387245314 startingPage "1" @default.
- W4387245314 abstract "Ocean waves have a significant impact on surface vehicles, such as ships and unmanned surface vehicles, and measuring wave fields using existing methods is inefficient and costly. To address this issue, this paper presents a hybrid vision-based approach for navigating surface vehicle using monocular image of wave field and vessel motion data. The proposed method is based on depth estimation of image pixels and considers the effect of vessel motion on detection accuracy. The depth of each image pixel is equalised to the sum of the depth of the mean water surface and the depth variation induced by wave elevation. The depth of the mean water surface can be determined using vessel motion, and the depth variation can be approximated by a learning model using monocular images. The learning model was trained using images of field measurements performed in the South China Sea near a typhoon, and X-band radar data were acquired for comparison. Using the proposed method, a three-dimensional wave field can be reconstructed. Wave spectra and wave parameters such as the dominant frequency and significant wave height were analysed to validate measurement accuracy. The expected errors were also analysed. The performances of the proposed and other vision-based methods were evaluated using the same dataset and compared in terms of accuracy. The results demonstrate that the proposed method exhibits an improved performance in reconstructing the wave field elevation." @default.
- W4387245314 created "2023-10-03" @default.
- W4387245314 creator A5010419450 @default.
- W4387245314 creator A5022840613 @default.
- W4387245314 creator A5048879956 @default.
- W4387245314 creator A5070222447 @default.
- W4387245314 creator A5077280689 @default.
- W4387245314 date "2023-01-01" @default.
- W4387245314 modified "2023-10-08" @default.
- W4387245314 title "A Hybrid Vision-based Method of Encountered Wave Field Measurement for Navigating Surface Vehicles" @default.
- W4387245314 doi "https://doi.org/10.1109/jsen.2023.3319028" @default.
- W4387245314 hasPublicationYear "2023" @default.
- W4387245314 type Work @default.
- W4387245314 citedByCount "0" @default.
- W4387245314 crossrefType "journal-article" @default.
- W4387245314 hasAuthorship W4387245314A5010419450 @default.
- W4387245314 hasAuthorship W4387245314A5022840613 @default.
- W4387245314 hasAuthorship W4387245314A5048879956 @default.
- W4387245314 hasAuthorship W4387245314A5070222447 @default.
- W4387245314 hasAuthorship W4387245314A5077280689 @default.
- W4387245314 hasConcept C111368507 @default.
- W4387245314 hasConcept C113346285 @default.
- W4387245314 hasConcept C121332964 @default.
- W4387245314 hasConcept C127313418 @default.
- W4387245314 hasConcept C127413603 @default.
- W4387245314 hasConcept C154945302 @default.
- W4387245314 hasConcept C160633673 @default.
- W4387245314 hasConcept C165082838 @default.
- W4387245314 hasConcept C181654704 @default.
- W4387245314 hasConcept C202444582 @default.
- W4387245314 hasConcept C24890656 @default.
- W4387245314 hasConcept C31972630 @default.
- W4387245314 hasConcept C33923547 @default.
- W4387245314 hasConcept C37054046 @default.
- W4387245314 hasConcept C41008148 @default.
- W4387245314 hasConcept C62649853 @default.
- W4387245314 hasConcept C66938386 @default.
- W4387245314 hasConcept C70620910 @default.
- W4387245314 hasConcept C76155785 @default.
- W4387245314 hasConcept C8058405 @default.
- W4387245314 hasConcept C84174578 @default.
- W4387245314 hasConcept C85910571 @default.
- W4387245314 hasConcept C9652623 @default.
- W4387245314 hasConceptScore W4387245314C111368507 @default.
- W4387245314 hasConceptScore W4387245314C113346285 @default.
- W4387245314 hasConceptScore W4387245314C121332964 @default.
- W4387245314 hasConceptScore W4387245314C127313418 @default.
- W4387245314 hasConceptScore W4387245314C127413603 @default.
- W4387245314 hasConceptScore W4387245314C154945302 @default.
- W4387245314 hasConceptScore W4387245314C160633673 @default.
- W4387245314 hasConceptScore W4387245314C165082838 @default.
- W4387245314 hasConceptScore W4387245314C181654704 @default.
- W4387245314 hasConceptScore W4387245314C202444582 @default.
- W4387245314 hasConceptScore W4387245314C24890656 @default.
- W4387245314 hasConceptScore W4387245314C31972630 @default.
- W4387245314 hasConceptScore W4387245314C33923547 @default.
- W4387245314 hasConceptScore W4387245314C37054046 @default.
- W4387245314 hasConceptScore W4387245314C41008148 @default.
- W4387245314 hasConceptScore W4387245314C62649853 @default.
- W4387245314 hasConceptScore W4387245314C66938386 @default.
- W4387245314 hasConceptScore W4387245314C70620910 @default.
- W4387245314 hasConceptScore W4387245314C76155785 @default.
- W4387245314 hasConceptScore W4387245314C8058405 @default.
- W4387245314 hasConceptScore W4387245314C84174578 @default.
- W4387245314 hasConceptScore W4387245314C85910571 @default.
- W4387245314 hasConceptScore W4387245314C9652623 @default.
- W4387245314 hasFunder F4320321001 @default.
- W4387245314 hasLocation W43872453141 @default.
- W4387245314 hasOpenAccess W4387245314 @default.
- W4387245314 hasPrimaryLocation W43872453141 @default.
- W4387245314 hasRelatedWork W2092983073 @default.
- W4387245314 hasRelatedWork W2094412185 @default.
- W4387245314 hasRelatedWork W2327617181 @default.
- W4387245314 hasRelatedWork W2347674380 @default.
- W4387245314 hasRelatedWork W2375941254 @default.
- W4387245314 hasRelatedWork W2604819234 @default.
- W4387245314 hasRelatedWork W4235611755 @default.
- W4387245314 hasRelatedWork W4283163986 @default.
- W4387245314 hasRelatedWork W4386295370 @default.
- W4387245314 hasRelatedWork W879761938 @default.
- W4387245314 isParatext "false" @default.
- W4387245314 isRetracted "false" @default.
- W4387245314 workType "article" @default.