activity
20212023
most citedUnlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence

19 citations · 31 across the 7 of their papers we have counts for

collaborators

8 papers

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…

cs.LG2023★ 8 cited

Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit

Johan Östman, Pablo Gomez, Vinutha Magal Shreenath +1

Onboard machine learning on the latest satellite hardware offers the potential for significant savings in communication and operational costs. We showcase the training of a machine…

cs.CV2023★ 19 cited

Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence

Gabriele Meoni, Roberto Del Prete, Federico Serva +3

Nowadays, there is growing interest in applying Artificial Intelligence (AI) on board Earth Observation (EO) satellites for time-critical applications, such as natural disaster res…

cs.DC2023

PAseos Simulates the Environment for Operating multiple Spacecraft

Pablo Gómez, Johan Östman, Vinutha Magal Shreenath +1

The next generation of spacecraft is anticipated to enable various new applications involving onboard processing, machine learning and decentralised operational scenarios. Even tho…

cs.LG2022★ 1 cited

Selected Trends in Artificial Intelligence for Space Applications

Dario Izzo, Gabriele Meoni, Pablo Gómez +2

The development and adoption of artificial intelligence (AI) technologies in space applications is growing quickly as the consensus increases on the potential benefits introduced.…

cs.NE2022★ 2 cited

Neuromorphic Computing and Sensing in Space

Dario Izzo, Alexander Hadjiivanov, Dominik Dold +2

The term ``neuromorphic'' refers to systems that are closely resembling the architecture and/or the dynamics of biological neural networks. Typical examples are novel computer chip…

cs.CV2022

Globally Optimal Event-Based Divergence Estimation for Ventral Landing

Sofia McLeod, Gabriele Meoni, Dario Izzo +5

Event sensing is a major component in bio-inspired flight guidance and control systems. We explore the usage of event cameras for predicting time-to-contact (TTC) with the surface…

cs.LG2021

MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels

Pablo Gómez, Gabriele Meoni

Supervised learning techniques are at the center of many tasks in remote sensing. Unfortunately, these methods, especially recent deep learning methods, often require large amounts…