Minimalistic in-flight odometry based on two optic flow sensors along a bouncing trajectory

Autor: Bergantin, Lucia, Coquet, Charles, Nègre, Amaury, Raharijaona, Thibaut, Marchand, Nicolas, Ruffier, Franck

Publikováno v: ICCAS 2022-22nd IEEE International Conference on Control, Automation and Systems (ICCAS)
ICCAS 2022-22nd IEEE International Conference on Control, Automation and Systems (ICCAS), Nov 2022, Busan, South Korea

International audience; Estimating the distance traveled while navigating in a GPS-deprived environment is key for aerial robotic applications. For drones, this issue is often coupled with weight and computational power constraints, from which stems

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1eb93af79c45ca6a3443f35d9ec2137
https://doi.org/10.23919/iccas55662.2022.10003956

Additional analyses illustrate both the bio-plausibility and the reliability of the proposed SOFIa model to estimate the flight distance from Oscillations make a self-scaled model for honeybees' visual odometer reliable regardless of flight trajectory

Autor: Bergantin, Lucia, Harbaoui, Nesrine, Raharijaona, Thibaut, RUFFIER, Franck

Additional analyses show i) the unreliability of a model based on the raw mathematical integration of the ventral optic flow magnitude and ii) the reliability of the self-scaled optic flow integration model including to variations in frequency of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19e613f3d95a5e8dce82964f413d4202