Target following on nano-scale Unmanned Aerial Vehicles

By Daniele Palossi, Jaskirat Singh, Michele Magno, Luca Benini. 2017

21 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Antonio Loquercio
2. Luca Benini
3. Daniele Palossi
4. Davide Scaramuzza
5. Henri Rebecq
6. Vladlen Koltun
7. Daniel Cremers
8. Guoquan Huang

In Computer Vision and Pattern Recognition

1. Antonio Loquercio
2. Davide Scaramuzza
3. Francesco Conti
4. Luca Benini
5. Daniele Palossi
6. Eric Flamand
7. Vladlen Koltun
8. Daniel Cremers

Citations in the corpus

• A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones (2018, background): “, ∼28% of the total) for additional onboard tasks like target following [40],”
• Extending the Lifetime of Nano-Blimps via Dynamic Motor Control (2018, unknown): “The popularity of nano-size unmanned aerial vehicles (nUAVs), typically weighing ∼50 g, has increased significantly in the past few years [30, 31].”