Data Processing of Images Acquired by UAV for Bridges
The work refers on an initial campaign of image acquisition by UAV for railway bridges conducted in Italy.The correct treatment and processing of these images permit the collection of data regarding the bridge geometry and the defects affecting structural elements.In this respect,first the problem related to the transformation of images in a 3D cloud of points will be analyzed with respect to the correlation of the geometry errors with the UAV flight.Second,the difficulties related to the transformation of 3D point cloud models in a Building Information Modeling-BIM models-will be discussed in relation to six-cases of steel,reinforced concrete and masonry railway bridges.Finally,the reachable enhancement by the use of UAVs in the detection of bridges defects will be evidenced in comparison to classical techniques of bridge visual inspection.The features needed for images processed for defect extension evaluation will be discussed together with the methodology implemented in the own software DEEP – DEfect detection by Enhanced image Processing.
Image processing bridge management bridge defects inspection by UAV data fusion
V.Gattulli F.Potenza E.Ottaviano
Department of Structural and Geotechnical Engineering,Sapienza University of Rome,Rome,Italy Department of Civil,Construction-Architectural and Environmental Engineering,LAquila,Italy Department of Civil and Mechanical Engineering,University of Cassino and Southern Lazio,Cassino,Ital
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
1511-1515
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）