Processing and Analysis of Accelerometer Data for the Surface State Identification

Surface state monitoring is a difficult and complex issue. Installation of the large number of static sensors is probable solution but huge size of the road network makes application of static methods challenging in terms of cost and labor. Authors of this article propose to use “mobile solutions“ for the purpose of surface state identification. They provide an overview of the existing methods of data processing in combination with hardware, which could be used for the objective of surface defects identification. All of the algorithms were tried on real test datasets collected by measuring unit. Further research suggests the application of the most suitable approaches in autonomous mobile platforms projects.