How to get pavement distress detection ready for deep learning? A systematic approach

• Published in: Proceedings of ... International Joint Conference on Neural Networks pp. 2039 - 2047
• Main Authors: Eisenbach, Markus, Stricker, Ronny, Seichter, Daniel, Amende, Karl, Debes, Klaus, Sesselmann, Maximilian, Ebersbach, Dirk, Stoeckert, Ulrike, Gross, Horst-Michael
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2017
• Subjects: Cameras; Inspection; Labeling; Neural networks; Roads; Surface resistance; Surface treatment

Road condition acquisition and assessment are the key to guarantee their permanent availability. In order to maintain a country's whole road network, millions of high-resolution images have to be analyzed annually. Currently, this requires cost and time excessive manual labor. We aim to automat...