HSDDD: A Hybrid Scheme for the Detection of Distracted Driving through Fusion of Deep Learning and H...
HSDDD: A Hybrid Scheme for the Detection of Distracted Driving through Fusion of Deep Learning and Handcrafted Features
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Publisher
Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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Traditional methods for behavior detection of distracted drivers are not capable of capturing driver behavior features related to complex temporal features. With the goal to improve transportation safety and to reduce fatal accidents on roads, this research article presents a Hybrid Scheme for the Detection of Distracted Driving called HSDDD. This...
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HSDDD: A Hybrid Scheme for the Detection of Distracted Driving through Fusion of Deep Learning and Handcrafted Features
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TN_cdi_doaj_primary_oai_doaj_org_article_4bd3cbbe2d91449b9093a3355b531aeb
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4bd3cbbe2d91449b9093a3355b531aeb
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22051864