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A New Method of Improving the Azimuth in Mountainous Terrain by Skyline Matching |
Tartalom: | http://unipub.lib.uni-corvinus.hu/6086/ |
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Archívum: | Corvinus Kutatások |
Gyűjtemény: |
Status = Published
Subject = Computer science Subject = Automatizálás, gépesítés Subject = Knowledge economy, innovation Type = Article |
Cím: |
A New Method of Improving the Azimuth in Mountainous Terrain
by Skyline Matching
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Létrehozó: |
Nagy, Balázs
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Kiadó: |
Springer
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Dátum: |
2020
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Téma: |
Knowledge economy, innovation
Automatizálás, gépesítés
Computer science
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Tartalmi leírás: |
Augmented reality (AR) applications have a serious problem with the accuracy of the azimuth angle provided by mobile
devices. The fusion of the digital magnetic compass (DMC), accelerometer and gyroscope gives the translation and rotation
of the observer in 3D space. However, the precision is not always appropriate since DMC is prone to interference when using
it near metal objects or electric currents. The silhouette of ridges separates the sky from the terrain and forms the skyline or
horizon line in a mountainous scenery. This salient feature can be used for orientation. With the camera of the device and
a digital elevation model (DEM) the correct azimuth angle could be determined. This study proposes an efective method
to adjust the azimuth by identifying the skyline from an image and matches it with the skyline of the DEM. This approach
does not require manual interaction. The algorithm has also been validated in a real-world environment.
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Nyelv: |
angol
angol
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Típus: |
Article
PeerReviewed
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Formátum: |
application/pdf
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Azonosító: |
Nagy, Balázs (2020) A New Method of Improving the Azimuth in Mountainous Terrain by Skyline Matching. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science (88). pp. 121-131. DOI https://doi.org/10.1007/s41064-020-00093-1
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