A New Method of Improving the Azimuth in Mountainous Terrain by Skyline Matching

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

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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.

Item Type:Article
Uncontrolled Keywords:computer vision, visual orientation, mobile application, augmented reality
Subjects:Knowledge economy, innovation
Automatizálás, gépesítés
Computer science
ID Code:6086
Deposited By: Veronika Vitéz
Deposited On:25 Nov 2020 15:35
Last Modified:27 Nov 2020 14:52

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