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20212026
most citedA Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing

15 citations · 42 across the 15 of their papers we have counts for

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Showing 2025Show all

2 papers · 1 filter

cs.CV2025

Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs

Davide Nadalini, Manuele Rusci, Elia Cereda +3

Monocular depth estimation (MDE) plays a crucial role in enabling spatially-aware applications in Ultra-low-power (ULP) Internet-of-Things (IoT) platforms. However, the limited num…

eess.SY2025★ 1 cited

Nonlinear System Identification Nano-drone Benchmark

Riccardo Busetto, Elia Cereda, Marco Forgione +3

We introduce a benchmark for system identification based on 75k real-world samples from the Crazyflie 2.1 Brushless nano-quadrotor, a sub-50g aerial vehicle widely adopted in robot…