Uploaded September 2020 | Updated September 2026, 9 hours ago
In this video, we explain the image transformation learning, that we use for transforming drone video images into an abstract, map style images that can be used for drone pose estimation without GPS (as can be seen in an extra video: youtu.be/ilIBzMu8QDY)
The Swiss Federal Office of Topography, swisstopo, provides to us maps in two styles: an orthographic projection of aerial photographs (referred to as ortho map) and its stripped-down abstractions, well known as the 1:25’000 maps (referred as the abstract map). Our approach to the pose estimation problem is to match the camera image on such a swisstopo map.
In this video, we explain the image transformation learning, that we use for transforming drone video images into an abstract, map style images that can be used for drone pose estimation without GPS (as can be seen in an extra video: youtu.be/ilIBzMu8QDY)
The Swiss Federal Office of Topography, swisstopo, provides to us maps in two styles: an orthographic projection of aerial photographs (referred to as ortho map) and its stripped-down abstractions, well known as the 1:25’000 maps (referred as the abstract map). Our approach to the pose estimation problem is to match the camera image on such a swisstopo map.
