Learning to Assist Drone Landingsdoi:10.1109/LRA.2021.3062572Kal BackmanDana KulicHoam ChungIEEE, Institute of Electrical and Electronics EngineersInternational Conference on Robotics and Automation
Therefore we propose a shared autonomy approach to assist pilots in safely landing a UAV under conditions where depth perception is difficult and safe landing zones are limited. Our approach is comprised of two modules: a perception module that encodes information onto a compressed latent ...
This method was trained in simulation and deployed on a real drone equipped with PTAM visual odometry and demonstrated effective landing trajectory generation and accurate landings within 20 cm of the target in complex real-world environments while showing robustness to sensor noise and temporary marker...