Faster RCNN based robust vehicle detection algorithm for identifying and classifying vehicles
Faster RCNN based robust vehicle detection algorithm for identifying and classifying vehicles
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Deep convolutional neural networks (CNNs) have shown tremendous success in the detection of objects and vehicles in recent years. However, when using CNNs to identify real-time vehicle detection in a moving context remains difficult. Many obscured and truncated cars, as well as huge vehicle scale fluctuations in traffic photos, provide these issues...
Alternative Titles
Full title
Faster RCNN based robust vehicle detection algorithm for identifying and classifying vehicles
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TN_cdi_proquest_journals_2918677429
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918677429
Other Identifiers
ISSN
1861-8200
E-ISSN
1861-8219
DOI
10.1007/s11554-023-01344-1
