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Detecting stalled or slow-moving vehicles at night by Optical Sensing - a feasibility study


Metadata FieldValueLanguage
dc.contributor.advisorHung, John Y.
dc.contributor.advisorBaginski, Michael E.
dc.contributor.advisorMao, Shiwen
dc.contributor.authorOkelana, Olufeni
dc.date.accessioned2014-12-04T15:39:10Z
dc.date.available2014-12-04T15:39:10Z
dc.date.issued2014-12-04
dc.identifier.urihttp://hdl.handle.net/10415/4389
dc.description.abstractIn developing countries and areas without adequate infrastructure, a system that can work towards automobile accident reduction without heavy infrastructural dependence or in-vehicle installation will have a shorter implementation time and thereby function sooner. Road studs are a common feature used for road delineation at night. Incorporating intelligence into road studs to detect stalled or slowly-moving vehicles can greatly reduce fatal night car accidents, which have a much higher frequency rate than those occurring during the day. This research aims at investigating its feasibility through optical sensing.en_US
dc.subjectElectrical Engineeringen_US
dc.titleDetecting stalled or slow-moving vehicles at night by Optical Sensing - a feasibility studyen_US
dc.typethesisen_US
dc.embargo.statusNOT_EMBARGOEDen_US

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