Matches in SemOpenAlex for { <https://semopenalex.org/work/W2918690501> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2918690501 abstract "In our earlier work, we worked on extraction of the total width of road by agents traversing in the direction guided by Volunteered Geographic Information (VGI). The only downfall of VGI approach is its inability to update the new road developments. In this paper, we introduce deep learning approach to update the road network. We make use of the output of our previous work which forms as an input to train the Convolutional Neural Network (CNN). Then, further post processing is performed to remove non-road segments (such as buildings, vegetation, etc) on the output of CNN and finally, obtain the updated road map." @default.
- W2918690501 created "2019-03-11" @default.
- W2918690501 creator A5005863795 @default.
- W2918690501 creator A5028573530 @default.
- W2918690501 creator A5070579744 @default.
- W2918690501 date "2018-11-01" @default.
- W2918690501 modified "2023-09-25" @default.
- W2918690501 title "Deep Learning Approach To Update Road Network using VGI Data" @default.
- W2918690501 cites W2181480346 @default.
- W2918690501 cites W2341130385 @default.
- W2918690501 cites W2416190443 @default.
- W2918690501 cites W2626685773 @default.
- W2918690501 cites W2773435590 @default.
- W2918690501 cites W2782522152 @default.
- W2918690501 cites W3100521496 @default.
- W2918690501 doi "https://doi.org/10.1109/cspis.2018.8642728" @default.
- W2918690501 hasPublicationYear "2018" @default.
- W2918690501 type Work @default.
- W2918690501 sameAs 2918690501 @default.
- W2918690501 citedByCount "1" @default.
- W2918690501 countsByYear W29186905012022 @default.
- W2918690501 crossrefType "proceedings-article" @default.
- W2918690501 hasAuthorship W2918690501A5005863795 @default.
- W2918690501 hasAuthorship W2918690501A5028573530 @default.
- W2918690501 hasAuthorship W2918690501A5070579744 @default.
- W2918690501 hasConcept C108583219 @default.
- W2918690501 hasConcept C119857082 @default.
- W2918690501 hasConcept C124101348 @default.
- W2918690501 hasConcept C127413603 @default.
- W2918690501 hasConcept C154945302 @default.
- W2918690501 hasConcept C176809094 @default.
- W2918690501 hasConcept C18762648 @default.
- W2918690501 hasConcept C205649164 @default.
- W2918690501 hasConcept C2522767166 @default.
- W2918690501 hasConcept C41008148 @default.
- W2918690501 hasConcept C57380593 @default.
- W2918690501 hasConcept C58640448 @default.
- W2918690501 hasConcept C78519656 @default.
- W2918690501 hasConcept C81363708 @default.
- W2918690501 hasConceptScore W2918690501C108583219 @default.
- W2918690501 hasConceptScore W2918690501C119857082 @default.
- W2918690501 hasConceptScore W2918690501C124101348 @default.
- W2918690501 hasConceptScore W2918690501C127413603 @default.
- W2918690501 hasConceptScore W2918690501C154945302 @default.
- W2918690501 hasConceptScore W2918690501C176809094 @default.
- W2918690501 hasConceptScore W2918690501C18762648 @default.
- W2918690501 hasConceptScore W2918690501C205649164 @default.
- W2918690501 hasConceptScore W2918690501C2522767166 @default.
- W2918690501 hasConceptScore W2918690501C41008148 @default.
- W2918690501 hasConceptScore W2918690501C57380593 @default.
- W2918690501 hasConceptScore W2918690501C58640448 @default.
- W2918690501 hasConceptScore W2918690501C78519656 @default.
- W2918690501 hasConceptScore W2918690501C81363708 @default.
- W2918690501 hasLocation W29186905011 @default.
- W2918690501 hasOpenAccess W2918690501 @default.
- W2918690501 hasPrimaryLocation W29186905011 @default.
- W2918690501 hasRelatedWork W2337926734 @default.
- W2918690501 hasRelatedWork W2731899572 @default.
- W2918690501 hasRelatedWork W2963958939 @default.
- W2918690501 hasRelatedWork W3173182854 @default.
- W2918690501 hasRelatedWork W4311257506 @default.
- W2918690501 hasRelatedWork W4312417841 @default.
- W2918690501 hasRelatedWork W4319994054 @default.
- W2918690501 hasRelatedWork W4320802194 @default.
- W2918690501 hasRelatedWork W4321369474 @default.
- W2918690501 hasRelatedWork W4366224123 @default.
- W2918690501 isParatext "false" @default.
- W2918690501 isRetracted "false" @default.
- W2918690501 magId "2918690501" @default.
- W2918690501 workType "article" @default.