activity
20052023
most citedSatellite Pose Estimation Challenge: Dataset, Competition Design and Results

300 citations · 948 across the 43 of their papers we have counts for

collaborators

52 papers

cs.RO2023

Small Celestial Body Exploration with CubeSat Swarms

Emmanuel Blazquez, Dario Izzo, Francesco Biscani +2

This work presents a large-scale simulation study investigating the deployment and operation of distributed swarms of CubeSats for interplanetary missions to small celestial bodies…

astro-ph.GA2023★ 4 cited

Dark Matter reconstruction from stellar orbits in the Galactic Centre

Thibault Lechien, Gernot Heißel, Jai Grover +1

Context. Current constraints on distributed matter in the innermost Galactic Centre (such as a cluster of faint stars and stellar remnants, Dark Matter or a combination thereof) ba…

cs.CV2023★ 1 cited

On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing

Loïc J. Azzalini, Emmanuel Blazquez, Alexander Hadjiivanov +2

An event-based camera outputs an event whenever a change in scene brightness of a preset magnitude is detected at a particular pixel location in the sensor plane. The resulting spa…

astro-ph.EP2023★ 2 cited

Investigation of the Robustness of Neural Density Fields

Jonas Schuhmacher, Fabio Gratl, Dario Izzo +1

Recent advances in modeling density distributions, so-called neural density fields, can accurately describe the density distribution of celestial bodies without, e.g., requiring a…

cs.RO2023★ 30 cited

Optimality Principles in Spacecraft Neural Guidance and Control

Dario Izzo, Emmanuel Blazquez, Robin Ferede +3

Spacecraft and drones aimed at exploring our solar system are designed to operate in conditions where the smart use of onboard resources is vital to the success or failure of the m…

cs.RO2023★ 2 cited

Guidance & Control Networks for Time-Optimal Quadcopter Flight

Sebastien Origer, Christophe De Wagter, Robin Ferede +2

Reaching fast and autonomous flight requires computationally efficient and robust algorithms. To this end, we train Guidance & Control Networks to approximate optimal control polic…