paper-with-me

홈 › Papers

DreamSat-2.0: Towards a General Single-View Asteroid 3D Reconstruction

2025-08-01 · Santiago Diaz, Xinghui Hu, Josiane Uwumukiza, Giovanni Lavezzi, Victor Rodriguez-Fernandez, Richard Linares arxiv

To enhance asteroid exploration and autonomous spacecraft navigation, we introduce DreamSat-2.0, a pipeline that benchmarks three state-of-the-art 3D reconstruction models-Hunyuan-3D, Trellis-3D, and Ouroboros-3D-on custom spacecraft and asteroid datasets. Our systematic analysis, using 2D perceptual (image quality) and 3D geometric (shape accuracy) metrics, reveals that model performance is domain-dependent. While models produce higher-quality images of complex spacecraft, they achieve better geometric reconstructions for the simpler forms of asteroids. New benchmarks are established, with Hunyuan-3D achieving top perceptual scores on spacecraft but its best geometric accuracy on asteroids, marking a significant advance over our prior work.

📄 PDF Abstract BibTeX arXiv:2508.01079

Code (0)

등록된 구현이 없습니다.

Tasks

3D Reconstruction

Similar Papers 제목 키워드 기반

DreamSat: Towards a General 3D Model for Novel View Synthesis of Space Objects

2024-10-07 · Nidhi Mathihalli, Audrey Wei, Giovanni Lavezzi, Peng Mun Siew 외

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 space is becoming increasingly congested, …

3D ReconstructionNovel View SynthesisSSIM

Autonomous Asteroid Characterization Through Nanosatellite Swarming

2022-10-11 · Kaitlin Dennison, Nathan Stacey, Simone D'Amico

This paper first defines a class of estimation problem called simultaneous navigation and characterization (SNAC), which is a superset of simultaneous localization and mapping (SLAM). A SNAC framework is then developed f…

Landmark TrackingNavigateSimultaneous Localization and MappingState Estimation

Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via LIDAR Altimetry and Reinforcement Meta-Learning

2019-11-16 · Brian Gaudet, Richard Linares, Roberto Furfaro

We optimize a six degrees of freedom hovering policy using reinforcement meta-learning. The policy maps flash LIDAR measurements directly to on/off spacecraft body-frame thrust commands, allowing hovering at a fixed posi…

Meta-LearningPosition

NEOviz: Uncertainty-Driven Visual Analysis of Asteroid Trajectories

2024-11-05 · Fangfei Lan, Malin Ejdbo, Joachim Moeyens, Bei Wang 외

We introduce NEOviz, an interactive visualization system designed to assist planetary defense experts in the visual analysis of the movements of near-Earth objects in the Solar System that might prove hazardous to Earth.…

Towards Asteroid Detection in Microlensing Surveys with Deep Learning

2022-11-04 · Preeti Cowan, Ian A. Bond, Napoleon H. Reyes

Asteroids are an indelible part of most astronomical surveys though only a few surveys are dedicated to their detection. Over the years, high cadence microlensing surveys have amassed several terabytes of data while scan…

Deep Learning