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SUMMARY:Automated Pavement Condition Monitoring - Stefania Radopoulou - Ph
 D
DTSTART:20141114T150000Z
DTEND:20141114T153000Z
UID:TALK55482@talks.cam.ac.uk
CONTACT:Lorna Everett
DESCRIPTION:Pavement condition monitoring is essential for pavement mainte
 nance programs. Current practice includes the usage of specialized vehicle
 s for collecting pavement data. However\, the high purchase and operationa
 l costs restrict their application in the primary road network. Therefore\
 , manual visual surveys are extensively applied as well. Moreover\, raw da
 ta is mostly analysed manually adding further to labour intensiveness and 
 time consumption of the whole process. In order to overcome the aforementi
 oned limitations\, the focus of this research is to propose a method that 
 will automatically detect and classify pavement defects. The general idea 
 is to treat the problem of pavement assessment holistically\, use data fro
 m sensors that either pre-exist on vehicles or are easy to purchase and at
 tach\, in order to transform passenger vehicles into ubiquitous pavement m
 onitoring ‘reporters’. Initially\, a method that detects and tracks pa
 vement patches in image and video data captured from a parking camera was 
 created. The results show that the use of such data is quite promising. Th
 e overall proposed approach will provide a way of reporting road condition
 s inexpensively\, globally and frequently.
LOCATION:Cambridge University Engineering Department\, LR5
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