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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 H...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4bd3cbbe2d91449b9093a3355b531aeb

HSDDD: A Hybrid Scheme for the Detection of Distracted Driving through Fusion of Deep Learning and Handcrafted Features

About this item

Full title

HSDDD: A Hybrid Scheme for the Detection of Distracted Driving through Fusion of Deep Learning and Handcrafted Features

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-02, Vol.22 (5), p.1864

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

HSDDD: A Hybrid Scheme for the Detection of Distracted Driving through Fusion of Deep Learning and Handcrafted Features

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4bd3cbbe2d91449b9093a3355b531aeb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4bd3cbbe2d91449b9093a3355b531aeb

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22051864

How to access this item