Road Surface Damage Monitoring System using Machine Learning

Dr.Ansal K A, Er.Anu Raj, Mr. Novel IJK

Abstract


A system to effectively monitor and evaluate a damaged road on the quality of the road surface. This is achieved using an image classifier convolution neural network. This can be used for a wide variety of uses like safety warnings to the driver and the car computer, more accurate travel time estimations etc.


Full Text:

PDF

References


“Pothole Detection System Using a Black-box Camera”, Youngtae Jo and SeungkiRyu, Highway Research Institute, Korea Institute of Civil Engineering and Building Technology

“Road Surface Condition Detection System”, by Hiroshi Fukamizu, Masaji Nakano, KunioIba, Taro Yamasaki, Kenji Sano

“Road Surface Quality Detection Using Accelerometer Data”, by MadisKariler, AmnirHidachi, University of Tartu

“Texture Based Road Surface Detection”, Guangyu Chen,, Case Western Reserve University


Refbacks

  • There are currently no refbacks.