DroNet: Learning to Fly by Driving

@article{Loquercio2018DroNetLT,
  title={DroNet: Learning to Fly by Driving},
  author={Antonio Loquercio and Ana I. Maqueda and Carlos R. del-Blanco and Davide Scaramuzza},
  journal={IEEE Robotics and Automation Letters},
  year={2018},
  volume={3},
  pages={1088-1095}
}
Civilian drones are soon expected to be used in a wide variety of tasks, such as aerial surveillance, delivery, or monitoring of existing architectures. Nevertheless, their deployment in urban environments has so far been limited. Indeed, in unstructured and highly dynamic scenarios, drones face numerous challenges to navigate autonomously in a feasible and safe way. In contrast to traditional “map-localize-plan” methods, this letter explores a data-driven approach to cope with the above… CONTINUE READING
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