3 accepted papers
We present a novel machine learning framework and synthetic dataset for performing absolute localization on planetary surfaces where satellite navigation systems are unavailable. Current approaches involve manual surface-to-satellite image matching by human rover operators, limiting the rate of plan
Astronomical interferometry enables a collection of telescopes to achieve angular resolutions comparable to that of a single, much larger telescope. This is achieved by combining simultaneous observations from pairs of telescopes such that the signal is mathematically equivalent to sampling the Four…
We present a neural network approach and publicly available dataset for developing and benchmarking algorithms for localization on the Moon. Accurate localization is essential for navigation, path planning, and science objectives. On Earth, localization can be achieved using a satellite navigation s…