Accuracy Test Use of Technology DSLR Camera and Drone for Bridge Deformation

EasyChair Preprint 14301

Abstract

The bridge is a building structure that serves as a means of road transportation to connect one place to another. In general, bridges that have been used need to be monitored to be able to the condition of determining bridge. It should be noted that in observing bridge deformation, accurate acquisition technology is needed. In the field of photogrammetry, currently, there is a technology that can be used for monitoring bridge deformation with non-metric cameras, this is DSLR cameras and drones. The technology used in monitoring deformation has different levels of sensitivity (accuracy) in detecting deformation. In this study, each of these technologies has a different sensitivity level, so it is necessary to test the accuracy of the use of the technology used for studying deformation. The sensitivity level of the technology used is very influential in detecting the smallest possible changes or deformations [12]. The test was carried out by photogrammetric using close-range photogrammetric techniques on technology DSLR cameras and drones. The process of technology accuracy test for bridge deformation uses the bundle adjustment method. Based on the results of the accuracy test using a technology DSLR camera and drones for bridge deformation, the RMSE values generated on DSLR cameras for components X, Y, and Z are 0.056 mm, 0.080 mm, and 0.060 mm, while on drone cameras for components X, Y, and Z are 0.44 mm, 0.43 mm, and 0.24 mm. So it can be concluded that the results of the comparison of the accuracy test use of technology DSLR camera are more accurate than drone technology. The technology non-metric camera, this as DSLRs and drones, can be used for studies on bridge deformation that are capable of producing RMSE values below 1 mm or achieving an accuracy of up to a fraction of a millimeter.

Keyphrases: Bridge, DSLR camera, Drone, RMSE, deformation

@booklet{EasyChair:14301,
  author    = {Fransisca Agustina Dwi and Martinus Edwin Tjahjadi and Sri Winarni and Amar Rizqi Afdholy and Bernika Natasya Ifada and Suzanna Nisna Septamawati},
  title     = {Accuracy Test Use of Technology DSLR Camera and Drone for Bridge Deformation},
  howpublished = {EasyChair Preprint 14301},
  year      = {EasyChair, 2024}}