Matches in SemOpenAlex for { <https://semopenalex.org/work/W3035249292> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W3035249292 endingPage "17" @default.
- W3035249292 startingPage "10" @default.
- W3035249292 abstract "This study developed scene recognition and cloud computing technology for real-time environmental image-based regional planning using artificial intelligence. TensorFlow object detection functions were used for artificial intelligence technology. First, an image from the environment is transmitted to a cloud server for cloud computing, and all objects in the image are marked using a bounding box method. Obstacle detection is performed using object detection, and the associated technique algorithm is used to mark walkable areas and relative coordinates. The results of this study provide a machine vision application combined with cloud computing and artificial intelligence scene recognition that can be used to complete walking space activities planned by a cleaning robot or unmanned vehicle through real-time utilization of images from the environment." @default.
- W3035249292 created "2020-06-19" @default.
- W3035249292 creator A5015132182 @default.
- W3035249292 creator A5039443863 @default.
- W3035249292 date "2020-01-01" @default.
- W3035249292 modified "2023-09-30" @default.
- W3035249292 title "Combining Cloud Computing and Artificial Intelligence Scene Recognition in Real-time Environment Image Planning Walkable Area" @default.
- W3035249292 cites W2102605133 @default.
- W3035249292 cites W2116336064 @default.
- W3035249292 cites W2194775991 @default.
- W3035249292 cites W2612445135 @default.
- W3035249292 cites W2613718673 @default.
- W3035249292 cites W2753041493 @default.
- W3035249292 cites W2776985712 @default.
- W3035249292 cites W3106250896 @default.
- W3035249292 cites W569942085 @default.
- W3035249292 doi "https://doi.org/10.46604/aiti.2020.4284" @default.
- W3035249292 hasPublicationYear "2020" @default.
- W3035249292 type Work @default.
- W3035249292 sameAs 3035249292 @default.
- W3035249292 citedByCount "4" @default.
- W3035249292 countsByYear W30352492922021 @default.
- W3035249292 countsByYear W30352492922022 @default.
- W3035249292 crossrefType "journal-article" @default.
- W3035249292 hasAuthorship W3035249292A5015132182 @default.
- W3035249292 hasAuthorship W3035249292A5039443863 @default.
- W3035249292 hasBestOaLocation W30352492921 @default.
- W3035249292 hasConcept C111919701 @default.
- W3035249292 hasConcept C115961682 @default.
- W3035249292 hasConcept C147037132 @default.
- W3035249292 hasConcept C153180895 @default.
- W3035249292 hasConcept C154945302 @default.
- W3035249292 hasConcept C166957645 @default.
- W3035249292 hasConcept C205649164 @default.
- W3035249292 hasConcept C2776151529 @default.
- W3035249292 hasConcept C2776650193 @default.
- W3035249292 hasConcept C2781238097 @default.
- W3035249292 hasConcept C31972630 @default.
- W3035249292 hasConcept C41008148 @default.
- W3035249292 hasConcept C79974875 @default.
- W3035249292 hasConcept C90509273 @default.
- W3035249292 hasConceptScore W3035249292C111919701 @default.
- W3035249292 hasConceptScore W3035249292C115961682 @default.
- W3035249292 hasConceptScore W3035249292C147037132 @default.
- W3035249292 hasConceptScore W3035249292C153180895 @default.
- W3035249292 hasConceptScore W3035249292C154945302 @default.
- W3035249292 hasConceptScore W3035249292C166957645 @default.
- W3035249292 hasConceptScore W3035249292C205649164 @default.
- W3035249292 hasConceptScore W3035249292C2776151529 @default.
- W3035249292 hasConceptScore W3035249292C2776650193 @default.
- W3035249292 hasConceptScore W3035249292C2781238097 @default.
- W3035249292 hasConceptScore W3035249292C31972630 @default.
- W3035249292 hasConceptScore W3035249292C41008148 @default.
- W3035249292 hasConceptScore W3035249292C79974875 @default.
- W3035249292 hasConceptScore W3035249292C90509273 @default.
- W3035249292 hasIssue "1" @default.
- W3035249292 hasLocation W30352492921 @default.
- W3035249292 hasLocation W30352492922 @default.
- W3035249292 hasOpenAccess W3035249292 @default.
- W3035249292 hasPrimaryLocation W30352492921 @default.
- W3035249292 hasRelatedWork W1971759388 @default.
- W3035249292 hasRelatedWork W2007544051 @default.
- W3035249292 hasRelatedWork W2025800131 @default.
- W3035249292 hasRelatedWork W2061090284 @default.
- W3035249292 hasRelatedWork W2095705906 @default.
- W3035249292 hasRelatedWork W2129974284 @default.
- W3035249292 hasRelatedWork W2563020992 @default.
- W3035249292 hasRelatedWork W2773157103 @default.
- W3035249292 hasRelatedWork W2922421953 @default.
- W3035249292 hasRelatedWork W2975200075 @default.
- W3035249292 hasVolume "5" @default.
- W3035249292 isParatext "false" @default.
- W3035249292 isRetracted "false" @default.
- W3035249292 magId "3035249292" @default.
- W3035249292 workType "article" @default.