EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on fast...
EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models
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Publisher
London: Springer London
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Language
English
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Publisher
London: Springer London
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Scope and Contents
Contents
Due to static traffic management regulations on roadways, traffic flow may become congested as it has been growing on roads. Estimating traffic density impacts intelligent transportation systems as it helps build efficient traffic management. Vehicle recognition and counting are two main steps to estimate traffic density. Vehicle identification sys...
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Full title
EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models
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Author / Creator
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TN_cdi_proquest_journals_2770548775
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2770548775
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ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-022-07940-9
