ViLDAR-Visible light sensing-based speed estimation using vehicle headlamps

Basit Öğe Kaydı
dc.authorid0000-0001-8248-0607
dc.authorid0000-0002-6691-9779
dc.authorid0000-0002-9957-7752
dc.authorid0000-0001-5945-0813
dc.authorid0000-0001-9530-7213
dc.contributor.authorAbuella, Hishamen_US
dc.contributor.authorMiramirkhani, Farshaden_US
dc.contributor.authorEkin, Sabiten_US
dc.contributor.authorUysal, Muraten_US
dc.contributor.authorAhmed, Samiren_US
dc.date.accessioned2020-02-03T02:43:00Z
dc.date.available2020-02-03T02:43:00Z
dc.date.issued2019-11
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractThe introduction of light emitting diodes (LED) in automotive exterior lighting systems provides opportunities to develop viable alternatives to conventional communication and sensing technologies. Most of the advanced driver-assist and autonomous vehicle technologies are based on Radio Detection and Ranging (RADAR) or Light Detection and Ranging (LiDAR) systems that use radio frequency or laser signals, respectively. While reliable and real-time information on vehicle speeds is critical for traffic operations management and autonomous vehicles safety, RADAR or LiDAR systems have some deficiencies especially in curved road scenarios where the incidence angle is rapidly varying. In this paper, we propose a novel speed estimation system so-called the Visible Light Detection and Ranging (ViLDAR) that builds upon sensing visible light variation of the vehicle's headlamp. We determine the accuracy of the proposed speed estimator in straight and curved road scenarios. We further present how the algorithm design parameters and the channel noise level affect the speed estimation accuracy. For wide incidence angles, the simulation results show that the ViLDAR outperforms RADAR/LiDAR systems in both straight and curved road scenarios.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationAbuella, H., Miramirkhani, F., Ekin, S., Uysal, M., & Ahmed, S. (2019). ViLDAR-visible light sensing-based speed estimation using vehicle headlamps. IEEE Transactions on Vehicular Technology, 68(11), 10406-10417. doi:10.1109/TVT.2019.2941705en_US
dc.identifier.doi10.1109/TVT.2019.2941705
dc.identifier.endpage10417
dc.identifier.issn1939-9359
dc.identifier.issn0018-9545
dc.identifier.issue11
dc.identifier.scopus2-s2.0-85076109814
dc.identifier.scopusqualityQ1
dc.identifier.startpage10406
dc.identifier.urihttps://hdl.handle.net/11729/2230
dc.identifier.urihttps://dx.doi.org/10.1109/TVT.2019.2941705
dc.identifier.volume68
dc.identifier.wosWOS:000501358800006
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorMiramirkhani, Farshaden_US
dc.institutionauthorid0000-0002-6691-9779
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Vehicular Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdvanced driver assistance systemsen_US
dc.subjectAdvanced driver-assist technologiesen_US
dc.subjectAutomotive componentsen_US
dc.subjectAutomotive exterior lighting systemsen_US
dc.subjectAutonomous vehiclesen_US
dc.subjectAutonomous vehicle technologiesen_US
dc.subjectChannel modelsen_US
dc.subjectChannel noise levelen_US
dc.subjectCommunicationen_US
dc.subjectCurved road scenariosen_US
dc.subjectCurves (road)en_US
dc.subjectDistance measurementen_US
dc.subjectEstimationen_US
dc.subjectHeadlightsen_US
dc.subjectIndoor visibleen_US
dc.subjectInformation managementen_US
dc.subjectIntelligent systemsen_US
dc.subjectIntelligent transportation systemsen_US
dc.subjectLaser radaren_US
dc.subjectLaser signalsen_US
dc.subjectLEDen_US
dc.subjectLED lampsen_US
dc.subjectLÄ°DARen_US
dc.subjectLiDAR systemen_US
dc.subjectLighten_US
dc.subjectLight emitting diodesen_US
dc.subjectLight detection and ranging systemsen_US
dc.subjectNetworkingen_US
dc.subjectOptical communicationen_US
dc.subjectOptical radaren_US
dc.subjectOptical signal detectionen_US
dc.subjectPerformanceen_US
dc.subjectRADARen_US
dc.subjectRADAR systemen_US
dc.subjectRadio detection and rangingen_US
dc.subjectRadio detection and ranging systemen_US
dc.subjectRadio frequencyen_US
dc.subjectRay tracingen_US
dc.subjectReal time systemsen_US
dc.subjectReal-time informationen_US
dc.subjectRoad safetyen_US
dc.subjectRoad trafficen_US
dc.subjectRoad vehiclesen_US
dc.subjectRoadsen_US
dc.titleViLDAR-Visible light sensing-based speed estimation using vehicle headlampsen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
2230.pdf
Boyut:
2.57 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Publisher's Version
Ä°ndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
Ä°ndir

Koleksiyon

MF - Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu