Learning drone attitude from only events

Drone attitude is generally estimated from IMUs containing accelerometers and gyroscopes. In some flying insects, sensors like these are missing, posing the question of how they estimate their attitude. One hypothesis is that they do so using vision and knowledge of their own body and control commands. Recent work has demonstrated that this is at least possible for a drone with a single frame camera and usage of gyroscopes. Event cameras, with their much higher temporal resolution, might allow to also get rid of the gyroscopes, while at the same time promising lower power consumption and hence smaller drones.





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Wed, 01.05.2024 16:00 - 17:00 Sala Arcate
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