2 citations · 3 across the 5 of their papers we have counts for
6 papers
DreamSat: Towards a General 3D Model for Novel View Synthesis of Space Objects
Nidhi Mathihalli, Audrey Wei, Giovanni Lavezzi +4
Novel view synthesis (NVS) enables to generate new images of a scene or convert a set of 2D images into a comprehensive 3D model. In the context of Space Domain Awareness, since sp…
Enhancing Solar Driver Forecasting with Multivariate Transformers
Sergio Sanchez-Hurtado, Victor Rodriguez-Fernandez, Julia Briden +2
In this work, we develop a comprehensive framework for F10.7, S10.7, M10.7, and Y10.7 solar driver forecasting with a time series Transformer (PatchTST). To ensure an equal represe…
A New Monte-Carlo Model for the Space Environment
Daniel Jang, Davide Gusmini, Peng Mun Siew +4
This paper introduces a novel Monte Carlo (MC) method to simulate the evolution of the low-earth orbit environment, enhancing the MIT Orbital Capacity Analysis Tool (MOCAT). In rec…
Language Models are Spacecraft Operators
Victor Rodriguez-Fernandez, Alejandro Carrasco, Jason Cheng +3
Recent trends are emerging in the use of Large Language Models (LLMs) as autonomous agents that take actions based on the content of the user text prompts. We intend to apply these…
Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions
Victor Rodriguez-Fernandez, Sumiyajav Sarangerel, Peng Mun Siew +3
With the rapid increase in the number of Anthropogenic Space Objects (ASOs), Low Earth Orbit (LEO) is facing significant congestion, thereby posing challenges to space operators an…
Transformer-based Atmospheric Density Forecasting
Julia Briden, Peng Mun Siew, Victor Rodriguez-Fernandez +1
As the peak of the solar cycle approaches in 2025 and the ability of a single geomagnetic storm to significantly alter the orbit of Resident Space Objects (RSOs), techniques for at…