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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1208
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dc.contributor.authorMuril, Muhammad Jefrien_US
dc.contributor.authorAbdul Aziz, Nor Hidayatien_US
dc.contributor.authorAb Ghani, Hadhramien_US
dc.contributor.authorAb Aziz, Nor Azlinaen_US
dc.date.accessioned2021-04-24T15:12:18Z-
dc.date.available2021-04-24T15:12:18Z-
dc.date.issued2020-
dc.identifier.urihttp://hdl.handle.net/123456789/1208-
dc.descriptionOthersen_US
dc.description.abstractLane detection is one of the essential elements in road safety analysis. With the enhancement of technologies nowadays, the number of road accidents can be reduced by implementing a few preventive actions, one of it is by using a lane detection system. The authors review the recent deep learning and non-deep learning approach for lane detection system.en_US
dc.description.sponsorshipMinistry of Higher Educationen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectLane detectionen_US
dc.subjectCameras-Meteorologyen_US
dc.subjectRoads-Feature extractionen_US
dc.subjectClassification algorithms-Transformsen_US
dc.titleA Review on Deep Learning and Nondeep Learning Approach for Lane Detection Systemen_US
dc.typeInternationalen_US
dc.relation.conference2020 IEEE 8th Conference on Systems, Process and Control (ICSPC)en_US
dc.identifier.doi10.1109/ICSPC50992.2020.9305788-
dc.description.fundingFRGS/1/2019/ICT02/MMU/02/15en_US
dc.description.page162-166en_US
dc.description.researchareaComputer Vision and Artificial Intelligenceen_US
dc.relation.seminar8th IEEE Conference on Systems, Process and Control, ICSPC 2020en_US
dc.date.seminarstartdate2020-12-11-
dc.date.seminarenddate2020-12-12-
dc.description.placeofseminarMelaka, Malaysiaen_US
dc.description.seminarorganizerIEEE Malaysia Section Control Systems Chapteren_US
dc.description.typeIndexed Proceedingsen_US
item.languageiso639-1en-
item.openairetypeInternational-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptUNIVERSITI MALAYSIA KELANTAN-
Appears in Collections:Faculty of Bioengineering and Technology - Proceedings
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