Implementation and Validation of a High Accuracy UAV-Photogrammetry Based Rail Track Inspection System

Abstract

The regular inspection of the crane tracks of storage cranes at the Container Terminal Altenwerder (CTA), Hamburg requires high accuracy of measurements to determine its position. The allowed tolerances are in the range of 10 mm in the XY plane on a track length of 300 m. The traditional semi-automatic surveying methods are slow and require the interruption of the activities in the storage blocks. The research project AeroInspekt proposed a fully automatic measurement of the position of the tracks using UAV-based photogrammetry. In this paper, the results of the test campaign, carried out in June 2020, were presented where different cameras (150 mm and 80 mm telelens) and flight speeds (1.1 m/s and 1.9 m/s) at a 35 m flying height were performed. Furthermore, an automated rail delineation in the derived surface model was developed and evaluated with ground reference measurements. The results show that the required accuracy of the rail position with an RMSE of 3 mm in XY plane and 8 mm in altitude can be achieved with comparatively less disruption of regular block activities.

Transmission line UAV inspection multi-link data congestion control method

“…For the control of UAV inspection multi-link [7][8] data congestion, there are two problems that need to be solved, firstly, the proper data scheduling flow needs to be selected, and secondly, the routing path for UAV inspection needs to be selected. Therefore, it is necessary to first monitor the network state of UAV multi-link inspection, select the data scheduling flow that conforms to the network state, and select the routing path for the transmitted data.…”

Improving the Internal Accuracy of Uav-Image Blocks Using Local Low-Altitude Flights and Scale-Bars

“…The results show that the cross flights have a positive effect and the distribution of GCPs has a major effect on the bundle block adjustment quality. A full automated workflow is introduced in (Ghassoun et al, 2021) to extract the railway track with sub-millimeter accuracy. By using a PhaseOne iXM 100MP camera to capture images on 35m height and coded targets as GCPs, the nominal GSD that can be achieved with the selected system is 0.9mm.…”

Mask R-CNN Algoritmasını Kullanarak Demiryolu Travers Eksikliklerinin Tespiti İçin Otonom İHA Tasarımı

“…Yangınların izlenmesi [15], fotovoltaik panellerdeki kusurların incelenmesi [16], arama kurtarma görevleri [17], hedef takibi [18] gibi görevlerde kullanımı oldukça yaygındır. Bunların yanında, İHA'lar demiryollarında bulunan kusurların tespiti için de kullanılabilmektedir [19]. Demiryolu denetiminde karşılaşılan temel sorunlardan biri, denetim sırasında hattın meşgul edilmesidir.…”