SPIN: An Open Simulator of Realistic Spacecraft Navigation Imagery
SPIN is a simulator designed to generate spacecraft navigation imagery. Built on Unity, it is capable of generating detailed images of spacecrafts in different scenarios.
Research and publications
My PhD is focused on synthetic data generation and exploitation. I have generated data from different sources, including video-game engines, procedural generation, and generative algorithms. I have also worked on the application of synthetic data to different tasks, semantic segmentation, pose estimation, odometry and depth estimation.
Synthmantic LiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging
Synthmantic LiDAR is a synthetic dataset built using a modified version of the Carla simulator, designed to train and evaluate semantic segmentation models on LiDAR imaging. Our work was accepted into the 2024 International Conference on Image Processing (ICIP).
Using semantic segmentation to boost reinforcement learning performance
For my Master's thesis, I thought about how using semantic segmentation simplified certain environments for reinforcement learning agents, and built a system to research this idea using the classic Super Mario game. Our work was published in the Multimedia Tools and Applications journal.