ROAD DAMAGE DETECTION

ROAD DAMAGE DETECTION

Mr. Swapnil Adhav1, Mr. Bhushan Karwade2,

Mr. Mayur Patil3, Mr. Dishant Harpude4

Guide of: Prof. R.Phadatare5

Undergrad. Student, Dept. of Computer Engineering SKN Sinhgad Institute of Technology & Science,

Lonavala, Maharashtra

Abstract:

Many municipalities and road authorities seek to implement automated evaluation of  road damage. However, they often lack technology, know-how, and funds to afford state of-theart equipment for data collection and analysis of road damages. Although some countries, like Japan, have developed less expensive and readily available Smartphone based methods for automatic road condition monitoring, other countries still struggle to find efficient solutions. This work makes the following contributions in this context.

Firstly, it assesses usability of Japanese model for other countries. Secondly, it proposes  a large-scale heterogeneous road damage dataset comprising 26620 images collected  from multiple countries using smartphones. Thirdly, it proposes models capable of  detecting and classifying road damages in more than one country