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Improving road safety through accident detection and prediction in dashcam videos

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dc.contributor.author Sahrawat, Dhruva
dc.contributor.author Anand, Saket (Advisor)
dc.contributor.author Kaul, Sanjit Krishnan (Advisor)
dc.date.accessioned 2019-10-07T11:50:52Z
dc.date.available 2019-10-07T11:50:52Z
dc.date.issued 2019-04-15
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/763
dc.description.abstract One 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.iso en_US en_US
dc.publisher IIITD-Delhi en_US
dc.subject Road safety en_US
dc.subject Computer Vision en_US
dc.subject Image capture en_US
dc.subject Calibration en_US
dc.subject Cameras en_US
dc.subject Uncertainty en_US
dc.subject LIDAR en_US
dc.title Improving road safety through accident detection and prediction in dashcam videos en_US
dc.type Other en_US


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