Print Email Facebook Twitter Onboard Drone Detection with Event Cameras Title Onboard Drone Detection with Event Cameras Author Barberia Chueca, Alejandro (TU Delft Aerospace Engineering) Contributor Dupeyroux, J.J.G. (mentor) de Croon, G.C.H.E. (graduation committee) Degree granting institution Delft University of Technology Programme Aerospace Engineering Date 2022-07-14 Abstract In an effort to develop a new relative sensing method for drone swarms, the suitability of event cameras is assessed for propeller detection. Benchmark tests were conducted for different propellers under different lighting and background conditions, varying the observation distance and spinning frequency. The different tests were evaluated on event count, frequency, and clustering, as these are the most characteristic properties of the propeller-generated signal. A propeller detection metric was derived as a fuzzy classifier to assess detectability. It was observed that the sensor employed is limiting the detection range due to low resolution, with a maximum detection range of 75 cm. While at low spinning frequencies it is possible to detect the propeller at such distance, for higher frequences (6000 to 8000 RPMs) the range decreases to 45 cm for the tests with highest blade to background contrast and two-blade propellers. It was observed that lower contrasts reduce the successful detections only to low frequencies, and three-blade propellers become completely indetectable due to the static overlap between the blades. Therefore, it is concluded that, at this stage of the technology, the use case of event cameras for relative sensing is constrained to close distances with high contrast. To reference this document use: http://resolver.tudelft.nl/uuid:be142c0a-3475-4571-b9c5-9118d397c51a Part of collection Student theses Document type master thesis Rights © 2022 Alejandro Barberia Chueca Files PDF Onboard_Drone_Detection_w ... ameras.pdf 10.04 MB Close viewer /islandora/object/uuid:be142c0a-3475-4571-b9c5-9118d397c51a/datastream/OBJ/view