The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W6, 55–57, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W6-55-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W6, 55–57, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W6-55-2017

  13 Nov 2017

13 Nov 2017

BRIDGE SURFACE DAMAGE DETECTION APPLICATION WITH A LASER-BASED SOFTWARE PROTOTYPE

B. Güldür Erkal1 and N. M. Apaydın2 B. Güldür Erkal and N. M. Apaydın
  • 1Department of Civil Engineering, Hacettepe University, Beytepe Campus, 06800 Çankaya, Ankara, Turkey
  • 2Structures Department, General Directorate of Highways, Republic of Turkey Ministry of Transportation and Maritime Affairs and Communication, 06100, Çankaya, Ankara, Turkey

Keywords: Terrestrial Laser Scanners, Texture-Mapped Point Clouds, Point Cloud Processing, Surface Damage Detection, Software Application

Abstract. In order to determine the necessary actions such as rehabilitation, repair and etc. required for maintaining the operating status of aging bridges, the current conditions of these structures need to be assessed. Terrestrial laser scanners that are used to capture texture-mapped point clouds have been frequently used for assessing the current conditions of these structures. Authors’ have already developed surface damage detection algorithms in their previous work. The developed algorithms are capable of detecting several damage types from the collected texture-mapped point clouds. This short paper focuses on presenting the field application of a recently developed prototype software application that uses the previously developed surface damage detection algorithms. Capabilities of the prototype software application can be listed as importing point clouds, working with images, extracting damage features such as shape and size, determining condition ratings and producing damage reports for future investigations.