Matches in SemOpenAlex for { <https://semopenalex.org/work/W3087793641> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W3087793641 abstract "Summary Searching for a roadside parking spot in crowded cities is a burden. In this article, we propose a vision‐based mobile cloud parking management solution, which is fully automated such that it can find roadside parking spots in any street with flowing traffic. To develop such a system, we employ both object detection and road segmentation methods. Thus, we do not need to manually label and train for every distinct street and do not mark out parking spot boundaries and surrounding road areas. In our approach, fully convolutional networks, specifically the FCN‐VGG16 model and KITTI road dataset are used for road segmentation, whereas Faster Region‐based Convolutional Neural Networks and Microsoft Common Objects in Context dataset for object detection. Our Road Boundaries algorithm automatically identifies the road polygon excluding the roadside. The main contribution here is to differentiate the parked cars from the moving cars on the road and detect the available parking spot between the parked cars on the roadside and direct the driver to the nearest spot. On GPU, we achieved a frame rate of 1.5fps and up to 83% accuracy with flowing traffic and 92% with no traffic flow. These results promise a potential solution on a city‐wide scale." @default.
- W3087793641 created "2020-10-01" @default.
- W3087793641 creator A5014354651 @default.
- W3087793641 creator A5069036699 @default.
- W3087793641 date "2020-09-14" @default.
- W3087793641 modified "2023-09-29" @default.
- W3087793641 title "Fully automated roadside parking spot detection in real time with deep learning" @default.
- W3087793641 cites W1861492603 @default.
- W3087793641 cites W2075158265 @default.
- W3087793641 cites W2122046168 @default.
- W3087793641 cites W2136951166 @default.
- W3087793641 cites W2150066425 @default.
- W3087793641 cites W2167222293 @default.
- W3087793641 cites W2171196813 @default.
- W3087793641 cites W2183182206 @default.
- W3087793641 cites W2395611524 @default.
- W3087793641 cites W2557728737 @default.
- W3087793641 cites W2745157569 @default.
- W3087793641 cites W2800784028 @default.
- W3087793641 cites W2890690833 @default.
- W3087793641 cites W2897722020 @default.
- W3087793641 cites W2962716149 @default.
- W3087793641 cites W3019462500 @default.
- W3087793641 cites W3099364209 @default.
- W3087793641 cites W639708223 @default.
- W3087793641 doi "https://doi.org/10.1002/cpe.6006" @default.
- W3087793641 hasPublicationYear "2020" @default.
- W3087793641 type Work @default.
- W3087793641 sameAs 3087793641 @default.
- W3087793641 citedByCount "3" @default.
- W3087793641 countsByYear W30877936412021 @default.
- W3087793641 countsByYear W30877936412022 @default.
- W3087793641 crossrefType "journal-article" @default.
- W3087793641 hasAuthorship W3087793641A5014354651 @default.
- W3087793641 hasAuthorship W3087793641A5069036699 @default.
- W3087793641 hasConcept C126042441 @default.
- W3087793641 hasConcept C127413603 @default.
- W3087793641 hasConcept C14353550 @default.
- W3087793641 hasConcept C147176958 @default.
- W3087793641 hasConcept C154945302 @default.
- W3087793641 hasConcept C166957645 @default.
- W3087793641 hasConcept C190694206 @default.
- W3087793641 hasConcept C205649164 @default.
- W3087793641 hasConcept C22212356 @default.
- W3087793641 hasConcept C2776151529 @default.
- W3087793641 hasConcept C2777427512 @default.
- W3087793641 hasConcept C2779343474 @default.
- W3087793641 hasConcept C31972630 @default.
- W3087793641 hasConcept C3261483 @default.
- W3087793641 hasConcept C41008148 @default.
- W3087793641 hasConcept C64731932 @default.
- W3087793641 hasConcept C76155785 @default.
- W3087793641 hasConcept C81363708 @default.
- W3087793641 hasConcept C89600930 @default.
- W3087793641 hasConceptScore W3087793641C126042441 @default.
- W3087793641 hasConceptScore W3087793641C127413603 @default.
- W3087793641 hasConceptScore W3087793641C14353550 @default.
- W3087793641 hasConceptScore W3087793641C147176958 @default.
- W3087793641 hasConceptScore W3087793641C154945302 @default.
- W3087793641 hasConceptScore W3087793641C166957645 @default.
- W3087793641 hasConceptScore W3087793641C190694206 @default.
- W3087793641 hasConceptScore W3087793641C205649164 @default.
- W3087793641 hasConceptScore W3087793641C22212356 @default.
- W3087793641 hasConceptScore W3087793641C2776151529 @default.
- W3087793641 hasConceptScore W3087793641C2777427512 @default.
- W3087793641 hasConceptScore W3087793641C2779343474 @default.
- W3087793641 hasConceptScore W3087793641C31972630 @default.
- W3087793641 hasConceptScore W3087793641C3261483 @default.
- W3087793641 hasConceptScore W3087793641C41008148 @default.
- W3087793641 hasConceptScore W3087793641C64731932 @default.
- W3087793641 hasConceptScore W3087793641C76155785 @default.
- W3087793641 hasConceptScore W3087793641C81363708 @default.
- W3087793641 hasConceptScore W3087793641C89600930 @default.
- W3087793641 hasIssue "23" @default.
- W3087793641 hasLocation W30877936411 @default.
- W3087793641 hasOpenAccess W3087793641 @default.
- W3087793641 hasPrimaryLocation W30877936411 @default.
- W3087793641 hasRelatedWork W1669643531 @default.
- W3087793641 hasRelatedWork W2005437358 @default.
- W3087793641 hasRelatedWork W2008656436 @default.
- W3087793641 hasRelatedWork W2023558673 @default.
- W3087793641 hasRelatedWork W2134924024 @default.
- W3087793641 hasRelatedWork W2517104666 @default.
- W3087793641 hasRelatedWork W2567005852 @default.
- W3087793641 hasRelatedWork W2613186388 @default.
- W3087793641 hasRelatedWork W4362687569 @default.
- W3087793641 hasRelatedWork W2187221949 @default.
- W3087793641 hasVolume "33" @default.
- W3087793641 isParatext "false" @default.
- W3087793641 isRetracted "false" @default.
- W3087793641 magId "3087793641" @default.
- W3087793641 workType "article" @default.