A navigation research project run by Daniel Sabel at KTH, Stockholm, has acquired a software license from I-CONIC Vision.

Loss of, or interference with, GPS signals are critical challenges for autonomous drone flights, which are restricted by high safety requirements. This research project develops methods for navigation, where images from a camera onboard the drone are compared in real-time with reference images to calculate its position.

In addition to image content, such as color and texture, the possibility of using 3D information is also explored. I-CONIC’s software creates 3D models from the drone imagery in real-time, which then are compared with reference 3D models. Navigation methods based on 3D models are less sensitive to changes in color and texture, for example after leafing or snowfall.

Research project: “Autonomous Navigation Support from Real-Time Visual Mapping”


Email: dosabel@kth.se