Publication:
Keeping the vehicle on the road - A survey on on-road lane detection systems

dc.contributor.buuauthorYeni̇kaya, Sibel
dc.contributor.buuauthorYenikaya, Gökhan
dc.contributor.buuauthorDüven, Ekrem
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentElektrik ve Elektronik Mühendisliği Bölümü
dc.contributor.orcid0000-0003-4957-6126
dc.contributor.researcheridAAA-5126-2019
dc.contributor.scopusid26323397900
dc.contributor.scopusid15728930300
dc.contributor.scopusid55929929400
dc.date.accessioned2022-03-22T06:37:43Z
dc.date.available2022-03-22T06:37:43Z
dc.date.issued2013-10
dc.description.abstractThe development of wireless sensor networks, such as researchers Advanced Driver Assistance Systems (ADAS) requires the ability to analyze the road scene just like a human does. Road scene analysis is an essential, complex, and challenging task and it consists of: road detection (which includes the localization of the road, the determination of the relative position between vehicle and road, and the analysis of the vehicle's heading direction) and obstacle detection (which is mainly based on localizing possible obstacles on the vehicle's path). The detection of the road borders, the estimation of the road geometry, and the localization of the vehicle are essential tasks in this context since they are required for the lateral and longitudinal control of the vehicle. Within this field, on-board vision has been widely used since it has many advantages (higher resolution, low power consumption, low cost, easy aesthetic integration, and nonintrusive nature) over other active sensors such as RADAR or LIDAR. At first glance the problem of detecting the road geometry from visual information seems simple and early works in this field were quickly rewarded with promising results. However, the large variety of scenarios and the high rates of success demanded by the industry have kept the lane detection research work alive. In this article a comprehensive review of vision-based road detection systems vision is presented.
dc.identifier.citationYenikaya, S. vd. (2011). "Keeping the vehicle on the road - A survey on on-road lane detection systems". ACM Computing Surveys, 46(1), 1-42.
dc.identifier.endpage42
dc.identifier.issn0360-0300
dc.identifier.issn1557-7341
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84887689884
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1145/2522968.2522970
dc.identifier.urihttps://avesis.uludag.edu.tr/yayin/dc11f570-b599-4b34-8e1a-48f6859964a8/keeping-the-vehicle-on-the-road-a-survey-on-on-road-lane-detection-systems
dc.identifier.urihttp://hdl.handle.net/11452/25250
dc.identifier.volume46
dc.identifier.wos000327453300002
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherAssoc Computing Machinery
dc.relation.journalACM Computing Surveys
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectComputer science
dc.subjectAlgorithms
dc.subjectExperimentation
dc.subjectPerformance
dc.subjectReliability
dc.subjectVerification
dc.subjectComputer vision
dc.subjectIntelligent vehicles
dc.subjectLane detection
dc.subjectRoad detecetion
dc.subjectRoad following
dc.subjectVision system
dc.subjectDriver assistance
dc.subjectTracking
dc.subjectAlgorithm
dc.subjectRecognition
dc.subjectExtraction
dc.subjectParallel
dc.subjectComputer vision
dc.subjectIntelligent vehicle highway systems
dc.subjectLongitudinal control
dc.subjectObstacle detectors
dc.subjectOptical radar
dc.subjectRoads and streets
dc.subjectTracking (position)
dc.subjectVehicles
dc.subjectWireless sensor networks
dc.subjectHeading directions
dc.subjectLane detection
dc.subjectLow-power consumption
dc.subjectObstacle detection
dc.subjectRelative positions
dc.subjectRoad detecetion
dc.subjectRoad following
dc.subjectVisual information
dc.subjectSurveys
dc.subject.scopusCamera; Vanishing Point; Driver Assistance
dc.subject.wosComputer science, theory & methods
dc.titleKeeping the vehicle on the road - A survey on on-road lane detection systems
dc.typeArticle
dc.wos.quartileQ1
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Elektrik ve Elektronik Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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