Robust autonomous landing of a quadrotor on a moving target
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Copyright 2018 by AHS International, Inc. All rights reserved. Autonomous landing is the most difficult maneuver in a quadrotor mission because of challenges like (i) external disturbances and localization error both of which cause deviation from the desired trajectory and may result in a crash. In this paper, we use onboard vision to detect and estimate the landing target parameters accurately. We present a guidance framework to land on a moving target accurately. We discuss the advantages and present the simulation results for a simple 2D scenario for the proposed framework. We present implementation of the proposed algorithm for a quadrotor vehicle simulated in Microsoft Airsim using unreal engine as base and discuss various cases to evaluate robustness of the landing algorithm in presence of disturbances.
Annual Forum Proceedings - AHS International
author list (cited authors)
Gautam, A., Saripalli, S., Sujit, P. B., & Ratnoo, A.
complete list of authors
Gautam, A||Saripalli, S||Sujit, PB||Ratnoo, A