dc.contributor.author | Okon, Ofonime Dominic | |
dc.contributor.author | Meng, Li | |
dc.contributor.editor | Ronzhin, Andrey | |
dc.contributor.editor | Rigoll, Gerhard | |
dc.contributor.editor | Meshcheryakov, Roman | |
dc.date.accessioned | 2019-06-29T00:02:16Z | |
dc.date.available | 2019-06-29T00:02:16Z | |
dc.date.issued | 2017-09-11 | |
dc.identifier.citation | Okon , O D & Meng , L 2017 , Detecting Distracted Driving with Deep Learning . in A Ronzhin , G Rigoll & R Meshcheryakov (eds) , Interactive Collaborative Robotics : Proceeding of ICR 2017 . Lecture Notes in Computer Science book series (LNCS, volume 10459) , Springer Nature , pp. 170-179 , The 2nd International Conference on Interactive Collaborative Robotics , Hatfield , United Kingdom , 12/09/17 . https://doi.org/10.1007/978-3-319-66471-2 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 978-3-319-66470-5 | |
dc.identifier.isbn | 978-3-319-66471-2 | |
dc.identifier.uri | http://hdl.handle.net/2299/21403 | |
dc.description | © Springer International Publishing AG 2017 | |
dc.description.abstract | Driver distraction is the leading factor in most car crashes and near-crashes. This paper discusses the types, causes and impacts of distracted driving. A deep learning approach is then presented for the detection of such driving behaviors using images of the driver, where an enhancement has been made to a standard convolutional neural network (CNN). Experimental results on Kaggle challenge dataset have confirmed the capability of a convolutional neural network (CNN) in this complicated computer vision task and illustrated the contribution of the CNN enhancement to a better pattern recognition accuracy. | en |
dc.format.extent | 278818 | |
dc.language.iso | eng | |
dc.publisher | Springer Nature | |
dc.relation.ispartof | Interactive Collaborative Robotics | |
dc.relation.ispartofseries | Lecture Notes in Computer Science book series (LNCS, volume 10459) | |
dc.subject | Distraction Detection | |
dc.subject | Convolutional Neural Networks | |
dc.subject | Computer Vision | |
dc.title | Detecting Distracted Driving with Deep Learning | en |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | School of Engineering and Technology | |
dc.contributor.institution | Information Engineering and Processing Architectures | |
dc.contributor.institution | Smart Electronics Devices and Networks | |
dc.contributor.institution | Digital Media Processing and Biometrics | |
dc.description.status | Peer reviewed | |
dc.date.embargoedUntil | 2018-08-11 | |
rioxxterms.versionofrecord | 10.1007/978-3-319-66471-2 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |