Crack Detection and Classification in Asphalt Pavement Images using Deep Convolution Neural Network

IEEE International Conference on Control System, Computing and Engineering
Published: Nov 1, 2018
Abstract
Pavement distress particularly cracks, are the most significant type of pavement distress that has been studied for many years due to the complicated pavement crack condition. The continuous severity of crack can cause a dangerous environment that may affect the road users. Therefore, an efficient computer algorithm plays an important role in developing analysis tools for automated crack detection. In Malaysia, many of road surveyors are still...
Paper Details
Title
Crack Detection and Classification in Asphalt Pavement Images using Deep Convolution Neural Network
Published Date
Nov 1, 2018
Journal
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