Combining Cameras, Magnetometers and Machine-Learning into a Close-Range Localization System for Docking and Homing
Marc Hildebrandt, Leif Christensen, Frank Kirchner
In MTS/IEEE Oceans 2017 Anchorage, (OCEANS-2017), 18.9.-21.9.2017, Anchorage, Alaska, IEEE, Sep/2017.

Abstract :

In this work we are describing a multi-modal short- range navigation system for precision positioning tasks such as docking of a robotic vehicle in 3d space. The two input modalities, a monocular camera tracking a visual marker and an array of 3-axis magnetometers tracking a magnet, were chosen to cover a wide range of environmental conditions in order to increase the versatility and robustness of the navigation system. A comprehensive analysis of the individual components of the system is provided, resulting in a reliable estimate of its real- world applicability.

last updated 28.02.2023
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