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Estimation of the distance from a surface based on local optic flow divergence
2021
2021 International Conference on Unmanned Aircraft Systems (ICUAS)
Estimating the distance from a surface is a well-known problem for all kinds of applications involving robots moving in an unknown environment. For flying robots this issue is often coupled with weight constraints, from which the importance of carrying out the estimation of distances with minimalistic equipment. In this study, we present a method to exploit the optic flow divergence cue in order to assess the distance from a surface by means of an Extended Kalman Filter. First, we demonstrated
doi:10.1109/icuas51884.2021.9476751
fatcat:slsbqy6n5zhovotu3o5wp5j56q