Semantic Real-Time Mapping with UAVs

Whilst mapping with UAVs has become an established tool for geodata acquisition in many domains, certain time-critical applications, such as crisis and disaster response, demand fast geodata processing pipelines rather than photogrammetric post-processing approaches. Based on our 3D-capable real-tim...

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Bibliographic Details
Published in:Journal of photogrammetry, remote sensing and geoinformation science remote sensing and geoinformation science, 2023-06, Vol.91 (3), p.157-170
Main Authors: Fanta-Jende, Phillipp, Steininger, Daniel, Kern, Alexander, Widhalm, Verena, Apud Baca, Javier G., Hofstätter, Markus, Simon, Julia, Bruckmüller, Felix, Sulzbachner, Christoph
Format: Article
Language:English
Subjects:
Aerospace Technology and Astronautics
Astronomy
Computer Imaging
Earth and Environmental Science
Geographical Information Systems/Cartography
Geography
Observations and Techniques
Original Article
Pattern Recognition and Graphics
Remote Sensing/Photogrammetry
Signal,Image and Speech Processing
Vision
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Summary:Whilst mapping with UAVs has become an established tool for geodata acquisition in many domains, certain time-critical applications, such as crisis and disaster response, demand fast geodata processing pipelines rather than photogrammetric post-processing approaches. Based on our 3D-capable real-time mapping pipeline, this contribution presents not only an array of optimisations of the original implementation but also an extension towards understanding the image content with respect to land cover and object detection using machine learning. This paper (1) describes the pipeline in its entirety, (2) compares the performance of the semantic labelling and object detection models quantitatively and (3) showcases real-world experiments with qualitative evaluations.
ISSN:2512-2789
2512-2819
DOI:10.1007/s41064-023-00242-2