Publication: DroNet: Learning to Fly by Driving
DroNet: Learning to Fly by Driving
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Loquercio, A., Maqueda, A. I., Del-Blanco, C. R., & Scaramuzza, D. (2018). DroNet: Learning to Fly by Driving. IEEE Robotics and Automation Letters, 3(2), 1088–1095. https://doi.org/10.1109/lra.2018.2795643
Abstract
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Abstract
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 challenges. To accomplish this, we propose DroN
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Creators (Authors)
- Loquercio, Antonio
- Maqueda, Ana I
- Del-Blanco, Carlos R
- Scaramuzza, Davide
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Citations
Loquercio, A., Maqueda, A. I., Del-Blanco, C. R., & Scaramuzza, D. (2018). DroNet: Learning to Fly by Driving. IEEE Robotics and Automation Letters, 3(2), 1088–1095. https://doi.org/10.1109/lra.2018.2795643
