Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/763
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dc.contributor.authorSahrawat, Dhruva-
dc.contributor.authorAnand, Saket (Advisor)-
dc.contributor.authorKaul, Sanjit Krishnan (Advisor)-
dc.date.accessioned2019-10-07T11:50:52Z-
dc.date.available2019-10-07T11:50:52Z-
dc.date.issued2019-04-15-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/763-
dc.description.abstractOne of the major problems faced with advanced driver assistance systems is to correctly estimate Driver's situation awareness. We detect and track other vehicles and use that to predict if an accident will occur. We propose a system to track the direction of the gaze of the driver and associate it with these predictions. The gaze direction and the predictions will then be used to estimate driver-risk awareness and alert the driver if necessary.en_US
dc.language.isoen_USen_US
dc.publisherIIITD-Delhien_US
dc.subjectRoad safetyen_US
dc.subjectComputer Visionen_US
dc.subjectImage captureen_US
dc.subjectCalibrationen_US
dc.subjectCamerasen_US
dc.subjectUncertaintyen_US
dc.subjectLIDARen_US
dc.titleImproving road safety through accident detection and prediction in dashcam videosen_US
dc.typeOtheren_US
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