Türk Uzaktan Algılama ve CBS Dergisi

Yazarlar: Mustafa ZEYBEK, Serkan BİÇİCİ

Konular:Uzaktan Algılama

Anahtar Kelimeler:UAV,DSM,Orthomosaic,Road distress,Rut,Pothole

Özet: Maintenance and rehabilitation of the road are very serious actions. Therefore, road conditions should be inspected accurately before taking these actions. Manual and visual inspection in the field is the traditionally used method to monitor road conditions. However, it is time-consuming, labor-intense and costly. In addition, the traditional inspection method is unsafe directly for the inspectors and indirectly for primary users of the road, such as pedestrians and drivers. In this study, the unmanned aerial vehicle (UAV) was used to inspect the road condition. UAV technology is becoming a valuable tool for collecting data efficiently and accurately. The proposed method involved three steps. First, several images were acquired from a UAV flight. Then, these images were used to generate a three-dimensional (3D) point cloud, digital surface model and orthomosaic. Finally, road distresses were detected and measured from two-dimensional (2D) and 3D data. The measurements obtained from the proposed methodology were compared against the measurements obtained from the traditional inspection method. It was found that both measurements produced similar results. In conclusion, the use of the UAV measurement technique was found to be suitable for detecting road distress. Given the advantages of the proposed methodology, it can also be inferred that UAVs can be used instead of the traditional inspection method.

---