Pemanfaatan Teknologi UAV (Unmanned Aerial Vehicle) Untuk Identifikasi dan Klasifikasi Jenis-jenis Kerusakan Jalan

Abstract

Road maintenance, repair, and rehabilitation are important parts of road infrastructure. Before that steps are needed to identify each type of road distress. UAV (Unmanned Aerial Vehicle) is a platform that has advantages to produce a geographical database. The location of this research is Jembangan road which is in Tulung District, Klaten Regency. The road structure was studied in flexible pavement. Aerial photo data is processed and analyzed by using SfM software to produce orthophoto. orthophoto is used in the process of visual interpretation to identify road distress. The results were obtained by several types of road distress in the form of alligator cracking, potholes, edge cracking, shoving, and depression. This type of road distress classification was obtained an accuracy rate of 96.36 %.