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PULP-Dronet: In-field evaluation
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Classroom Contents
Autonomous Nano-UAVs: An Extreme Edge Computing Case
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- 1 Intro
- 2 Motivation/Vision
- 3 State-of-the-Art and Challenges
- 4 How to enable the extreme edge computing?
- 5 Full stack application: Autonomous navigation
- 6 On-board brain
- 7 PULP-Dronet: Shrinking and optimization
- 8 PULP-Dronet: Results
- 9 PULP-Dronet: In-field evaluation
- 10 PULP-Dronet evolution
- 11 PULP-Dronet v2: Results
- 12 PULP-Dronet v3: Tiny-PULP-Dronets
- 13 Full stack application: Human robot interaction
- 14 PULP-Frontnet: In-field evaluation
- 15 How to improve the generalization capability?
- 16 Background randomization: Pipeline
- 17 Background randomization: Testing setup
- 18 Background randomization: Results
- 19 Background randomization: In-field evaluation
- 20 How to improve the regression performance?
- 21 Vision-state fusion: In-field evaluation
- 22 Conclusion
