Title | ||
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Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs |
Abstract | ||
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Many emerging applications of nano-sized unmanned aerial vehicles (UAVs), with a few cm2 form-factor, revolve around safely interacting with humans in complex scenarios, for example, monitoring their activities or looking after people needing care. Such sophisticated autonomous functionality must be achieved while dealing with severe constraints in payload, battery, and power budget (~<... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/JIOT.2021.3091643 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Task analysis,Internet of Things,Robots,Computational modeling,Aerospace electronics,Drones,Aircraft | Journal | 9 |
Issue | ISSN | Citations |
3 | 2327-4662 | 1 |
PageRank | References | Authors |
0.36 | 0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daniele Palossi | 1 | 41 | 6.12 |
Nicky Zimmerman | 2 | 1 | 0.70 |
Alessio Burrello | 3 | 16 | 4.81 |
Francesco Conti 0001 | 4 | 125 | 18.24 |
Hanna Müller | 5 | 1 | 0.36 |
Luca Maria Gambardella | 6 | 1 | 0.36 |
Luca Benini | 7 | 13116 | 1188.49 |
Alessandro Giusti | 8 | 1023 | 92.34 |
Jerome Guzzi | 9 | 80 | 10.00 |