Automatic and Semantically-Aware 3D UAV Flight Planning for Image-Based 3D Reconstruction

Koch, Tobias; Körner, Marco; Fraundorfer, Friedrich

doi:10.3390/rs11131550

Cited by 67 publications

(61 citation statements)

References 50 publications

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“…Figure 11 shows the camera locations in missions 1 and 2, where we can see the short distances between camera locations at the turning parts and at the two ends of the flight lines. This narrow baseline would lead to poor image reconstruction results as reported in a previous study [56]. To investigate the elevation differences in different geomorphic environments, we used the orthophoto as a reference and manually divided the study site into zone 1 (intertidal area and dry beach with no vegetation) and zone 2 (steep slope with dense vegetation).…”

Section: Comparative Quality Assessment Of Lidar and Image-based Poinmentioning

confidence: 99%

Evaluation of UAV LiDAR for Mapping Coastal Environments

et al. 2019

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Unmanned Aerial Vehicle (UAV)-based remote sensing techniques have demonstrated great potential for monitoring rapid shoreline changes. With image-based approaches utilizing Structure from Motion (SfM), high-resolution Digital Surface Models (DSM), and orthophotos can be generated efficiently using UAV imagery. However, image-based mapping yields relatively poor results in low textured areas as compared to those from LiDAR. This study demonstrates the applicability of UAV LiDAR for mapping coastal environments. A custom-built UAV-based mobile mapping system is used to simultaneously collect LiDAR and imagery data. The quality of LiDAR, as well as image-based point clouds, are investigated and compared over different geomorphic environments in terms of their point density, relative and absolute accuracy, and area coverage. The results suggest that both UAV LiDAR and image-based techniques provide high-resolution and high-quality topographic data, and the point clouds generated by both techniques are compatible within a 5 to 10 cm range. UAV LiDAR has a clear advantage in terms of large and uniform ground coverage over different geomorphic environments, higher point density, and ability to penetrate through vegetation to capture points below the canopy. Furthermore, UAV LiDAR-based data acquisitions are assessed for their applicability in monitoring shoreline changes over two actively eroding sandy beaches along southern Lake Michigan, Dune Acres, and Beverly Shores, through repeated field surveys. The results indicate a considerable volume loss and ridge point retreat over an extended period of one year (May 2018 to May 2019) as well as a short storm-induced period of one month (November 2018 to December 2018). The foredune ridge recession ranges from 0 m to 9 m. The average volume loss at Dune Acres is 18.2 cubic meters per meter and 12.2 cubic meters per meter within the one-year period and storm-induced period, respectively, highlighting the importance of episodic events in coastline changes. The average volume loss at Beverly Shores is 2.8 cubic meters per meter and 2.6 cubic meters per meter within the survey period and storm-induced period, respectively.

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Section: Comparative Quality Assessment Of Lidar and Image-based Poinmentioning

confidence: 99%

Evaluation of UAV LiDAR for Mapping Coastal Environments

et al. 2019

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“…The first part of the discussion should reflect on the interpretation of the result data that were obtained with the use of the new set of tests. The differences between the design values and the ones measured by the MS50 surveying instrument, as a reference data, can be used to assess the accuracy of the UAV mission, e.g., in the case of separation from infrastructure, obstacles [31,32,36], ensuring appropriate shooting distances, etc. The differences between the design values and those that were derived from the data stored in the LOG files of the UAV on-board computers allow for determining the internal accuracy of the on-board computer, i.e., the permissible values at which the planned tasks are considered to be fulfilled by its software.…”

Section: Discussionmentioning

confidence: 99%

Testing Procedure of Unmanned Aerial Vehicles (UAVs) Trajectory in Automatic Missions

Ćwiąkała

2019

Applied Sciences

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This paper describes an experimental test campaign while using an Unmanned Aerial Vehicle (UAV) and measuring the obtained UAV positions during different flight tasks and in different operative conditions. A new test procedure has been presented and tested for different devices in various weather conditions. This paper describes and analyses the measurements of the flight trajectory of the UAV that was performed with the use of a robotic total station (RTS), as compared to the design data and the data recorded in the internal memory of the UAV. Five different test tasks have been conducted. The obtained results have allowed for the assessment of the correctness of task performance as compared to the design and to determine the flying accuracy of the entire UAV set. The proposed set of tasks can be successfully utilised to control the correctness of operation of various types of UAVs and it may be implemented as a universal test to verify the algorithms optimising take-offs and landings, test flights of the objects, as well as flight planning in various terrain and weather conditions, which will increase the safety of the flights while using UAVs.

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“…In [13], the authors introduce a method for flight planning that focuses on the image based 3D reconstruction, while also considering environmental limits, like no-fly zones. They show that their proposed method is able to compute flight paths that cover the structure of interest well for object resolutions of few centimeters.…”

Section: State Of the Artmentioning

confidence: 99%

Multi-scale Flight Path Planning for UAS Building Inspection

Debus

Rodehorst

2020

Lecture Notes in Civil Engineering

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Unmanned aircraft systems (UAS) show large potential for the construction industry. Their use in condition assessment has increased significantly, due to technological and computational progress. UAS play a crucial role in developing a digital maintenance strategy for infrastructure, saving cost and effort, while increasing safety and reliability. Part of that strategy are automated visual UAS inspections of the building's condition. The resulting images can automatically be analyzed to identify and localize damages to the structure that have to be monitored. Further interest in parts of a structure can arise from events like accidents or collisions. Areas of low interest exist, where low resolution monitoring is sufficient. From different requirements for resolution, different levels of detail can be derived. They require special image acquisition parameters that differ mainly in the distance between camera and structure. Areas with a higher level of detail require a smaller distance to the object, producing more images. This work proposes a multi-scale flight path planning procedure, enabling higher resolution requirements for areas of special interest, while reducing the number of required images to a minimum. Careful selection of the camera positions maintains the complete coverage of the structure, while achieving the required resolution in all areas. The result is an efficient UAS inspection, reducing effort for the maintenance of infrastructure.

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Automatic and Semantically-Aware 3D UAV Flight Planning for Image-Based 3D Reconstruction

Cited by 67 publications

References 50 publications

Evaluation of UAV LiDAR for Mapping Coastal Environments

Evaluation of UAV LiDAR for Mapping Coastal Environments

Testing Procedure of Unmanned Aerial Vehicles (UAVs) Trajectory in Automatic Missions

Multi-scale Flight Path Planning for UAS Building Inspection

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