Publication: Micro air vehicle localization and position tracking from textured 3D cadastral models
Micro air vehicle localization and position tracking from textured 3D cadastral models
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Majdik, A. L., Verda, D., Albers-Schoenberg, Y., & Scaramuzza, D. (2014). Micro air vehicle localization and position tracking from textured 3D cadastral models. Proceedings of the IEEE International Conference on Robotics and Automation, 920–927. https://doi.org/10.1109/ICRA.2014.6906964
Abstract
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In this paper, we address the problem of localizing a camera-equipped Micro Aerial Vehicle (MAV) flying in urban streets at low altitudes. An appearance-based global positioning system to localize MAVs with respect to the surrounding buildings is introduced. We rely on an air-ground image matching algorithm to search the airborne image of the MAV within a ground-level Street View image database and to detect image matching points. Based on the image matching points, we infer the global position of the MAV by back-projecting the corres
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- Majdik, András L
- Verda, Damiano
- Albers-Schoenberg, Yves
- Scaramuzza, Davide
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Majdik, A. L., Verda, D., Albers-Schoenberg, Y., & Scaramuzza, D. (2014). Micro air vehicle localization and position tracking from textured 3D cadastral models. Proceedings of the IEEE International Conference on Robotics and Automation, 920–927. https://doi.org/10.1109/ICRA.2014.6906964
