Reproduce “On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Loïc J. Azzalini, Emmanuel Blazquez, Alexander Hadjiivanov, Gabriele Meoni, Dario Izzo
The authors present a pipeline for generating synthetic event-camera data for lunar landings. It simulates descent trajectories, renders lunar views, converts them into event streams, and pairs them with motion-field ground truth based on an idealized camera and spherical-surface assumption. The dataset contains 500 trajectories with braking, approach, and descent profiles; it does not establish sensor fidelity or navigation performance.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.