Examination of Efficiency of Bridge Periodic Inspection Using 3D Data (Point Cloud Data and Images)

Many of Japan's bridges built during the period of high economic growth are deteriorating and require proper maintenance. However, due to the shortage of specialist in the field of civil engineering as well as the declining birthrate and aging population, the current bridge periodic inspection the proximity visual inspection and the preparation of inspection reports require a lot of work by each inspection engineer. To promote bridge inspection using robots such as UAVs, we have been improving efficiency in on-site inspection and the documentation of inspection results. The current challenges in this effort are the management of a vast number of images, image analysis and damage detection, and the accurate recording of damage locations. In this report, we present the results of the accuracy test of 3D bridge data generated by Structure from Motion (SfM) and explain the management of images using 3D data.