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dc.contributor.authorWiles, Oen
dc.contributor.authorMahmoud, Men
dc.contributor.authorRobinson, Peteren
dc.contributor.authorDias, Een
dc.contributor.authorSkrypchuk, Leeen
dc.contributor.editorGreen, Pen
dc.contributor.editorBoll, Sen
dc.contributor.editorBurnett, Gen
dc.contributor.editorGabbard, Jen
dc.contributor.editorOsswald, Sen
dc.date.accessioned2019-08-14T09:35:09Z
dc.date.available2019-08-14T09:35:09Z
dc.date.issued2016-10-24en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/295848
dc.description.abstractCurrent navigational systems rarely consider generic road landmarks in their navigation instructions, which can lead to mistakes, frustration, and distraction. However, automatic detection of road landmarks is difficult, as current approaches to object detection focus either on out-of-context objects which have special characteristics or on very specific domains. This work presents a future direction for a user-friendly navigational system based on state-of-the-art computer vision techniques that use deep learning for object detection. We propose an automatic hierarchical approach for detecting and classifying a set of static and dynamic road landmarks that would be useful in automatic navigational systems. We further demonstrate a set of optimisations that improve performance and accuracy of the basic system. We evaluate our approach on a natural, 'in-the-wild' dataset to determine how well it handles natural automotive input. Finally, we demonstrate a use-case for our system that extracts information about a vehicle's location and intention.
dc.languageEnglishen
dc.language.isoenen
dc.publisherAssociation for Computing Machinery
dc.subjectInformation Interfaces and Presentationen
dc.subjectUser Interfacesen
dc.subject. Image Processing and Computer Vision: Applications.en
dc.subjectDeep learningen
dc.subjectin-vehicle navigationen
dc.subjectobject detectionen
dc.titleTowards a user-centric in-vehicle navigational systemen
dc.typeConference Object
prism.endingPage34
prism.publicationDate2016en
prism.publicationNameAutomotiveUI 2016 - 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Proceedingsen
prism.startingPage27
dc.identifier.doi10.17863/CAM.42895
dcterms.dateAccepted2016-08-07en
rioxxterms.versionofrecord10.1145/3003715.3005457en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2016-10-24en
dc.contributor.orcidRobinson, Peter [0000-0003-0347-3789]
dc.contributor.orcidSkrypchuk, Lee [0000-0002-9619-6161]
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.conference-nameInternational Conference on Automotive User Interfaces and Interactive Vehicular Applicationsen
pubs.conference-start-date2016-10-24en
cam.orpheus.successThu Nov 05 11:54:31 GMT 2020 - Embargo updated*
rioxxterms.freetoread.startdate2100-01-01


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