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Henk Freimuth, Jan Müller and Markus König

Planning UAV-Assisted Visual Inspections of Construction Sites

Abstract: Inspection flights on construction sites, carried out with Unmanned Aerial Systems (UASs), should be planned with safety as the primary priority. Although the generation of waypoints may be conducted in an automated fashion, with distance-to-object constraints implemented in the algorithm, the visual review of such flight paths by a human operator before take-off is crucial. Apart from safety concerns, finding the right camera orientation for taking photographs of specific details is a non-trivial task when the camera is mounted to an Unmanned Aerial Vehicle (UAV). The inspection planning application should interactively assist the operator with this task.We propose an interactive and simulation-based inspection flight planning concept. A realistic and detailed simulation allows a quick and intuitive insight about generated flight paths and possible shortcomings of such paths in terms of flight safety. Images, rendered from the virtual scene, with the flying cameraÕs point of view enable the operator to assess the quality of the intended photographs before conducting the flight mission. These previews take into account the main parameters of the camera such as focal length and natural lighting. This minimises the need to readjust parameters or repeat inspection flights to get the right picture.

Keywords: Visual Inspection, Unmanned Aerial Systems, 4D Building Information Modeling, Progress Monitoring, Ground Control, Path Planning

DOI: https://doi.org/10.24928/JC3-2017/0150

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T Yamamoto, H Kusumoto, K Banjo

Data Collection System for a Rapid Recovery Work: Using Digital Photogrammetry and a Small Unmanned Aerial Vehicle (UAV)

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Varun Kasireddy and Burcu Akinci

A Case Study on Comparative Analysis of 3D Point Clouds from UAV and Terrestrial Scanners for Bridge Condition Assessment

Abstract: Recent improvements in 3D laser scanning technologies enabled accurate capturing of existing spatial conditions using point clouds. To leverage this progress for a more accurate condition assessment, state Department of Transportations (DOT) across the US have been utilizing scanning technologies through deployment of terrestrial laser scanners (TLS) and more recently Light Detection and Ranging (LIDAR) scanners fitted to UAVs. However, not much study thus far discusses the potential of these 3D point clouds captured from these two different data collection approaches for supporting automatic and detailed (element-level) condition assessment of bridges. The goal of this study is to compare the utilization of 3D point cloud generated from a terrestrial scanner with that from a UAV in supporting element-level condition assessment of bridges. This paper presents recent results from full scale deployment on a small/medium size highway bridge. An important component of our effort is to explore how well the collected data supports element level condition assessment as per National Bridge Inspection Standards (NBIS). This study assesses the potential to incorporate these data collection modalities into standard bridge safety inspection practice.

Keywords: Laser Scanning, Bridge, Condition Assessment, Element Level

DOI: https://doi.org/10.24928/JC3-2017/0041

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