M2APix: a bio-inspired auto-adaptive visual sensor for robust ground height estimation

This paper presents for the first time the embedded stand-alone version of the bio-inspired M2APix (Michaelis-Menten auto-adaptive pixels) sensor as a ventral optic flow sensor to endow glider-type unmanned aerial vehicles with autonomous landing ability. Assuming the aircraft is equipped with any reliable speed measurement system such as a global positioning system or an inertial measurement unit, we can use the velocity of the glider to determine with high precision its height while landing. This information is robust to different outdoor lighting conditions and over different kinds of textured ground, a crucial property to control the landing phase of the aircraft.


All material (c) L. Perrinet. Please check the copyright notice.

This work was supported by the Doc2Amu project which received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 713750. Projet cofinancé par le Conseil Régional Provence-Alpes-Côte d’Azur.Projet cofinancé par le Conseil Régional Provence-Alpes-Côte d’Azur, la commission européenne et les Investissements d'Avenir.

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