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dc.contributor.authorJavidnia, Hossein
dc.contributor.authorCorcoran, Peter
dc.date.accessioned2021-04-07T13:45:50Z
dc.date.available2021-04-07T13:45:50Z
dc.date.issued2017-01-08
dc.identifier.citationJavidnia, Hossein, & Corcoran, Peter. (2017). Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms. Paper presented at the 2017 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 08-10 January.en_IE
dc.identifier.urihttp://hdl.handle.net/10379/16687
dc.description.abstractThe real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for such a system through combining an improved advanced random walk with restart technique for stereo depth determination with fast, robust feature detection. The enables tracking and mapping of a wide range of scene structures which can be readily resolved into individual objects and scene elements. Thus it is practical to identify moving objects such as vehicles, pedestrians and fixed objects and structures such as buildings, trees and roadside kerb.en_IE
dc.description.sponsorshipThe research work presented here was funded under the Strategic Partnership Program of Science Foundation Ireland (SFI) and co-funded by SFI and FotoNation Ltd. Project ID: 13/SPP/I2868 on “Next Generation Imaging for Smartphone and Embedded Platforms”en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherInstitute of Electrical and Electronics Engineersen_IE
dc.relation.ispartof2017 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)en
dc.subjectReal-time automotive street-scene mappingen_IE
dc.subjectstereo depthen_IE
dc.subjectfast feature detection algorithmsen_IE
dc.titleReal-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithmsen_IE
dc.typeConference Paperen_IE
dc.date.updated2021-04-02T17:25:49Z
dc.identifier.doi10.1109/ICCE.2017.7889293
dc.local.publishedsourcehttps://dx.doi.org/10.1109/ICCE.2017.7889293en_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderFotoNation Limiteden_IE
dc.internal.rssid16219711
dc.local.contactPeter Corcoran, Electrical & Electronic Eng, Room 3041, Engineering Building, Nui Galway. 2764 Email: peter.corcoran@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Strategic Partnership Programme/13/SPP/I2868/IE/Next Generation Imaging for Smartphone and Embedded Platforms/en_IE
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