TL;DR
This paper introduces onboard Bayesian methods and optimal guidance strategies for autonomous asteroid shape reconstruction and landing, reducing reliance on extensive ground-based mapping and enabling precise surface operations.
Contribution
It presents a novel onboard Bayesian shape estimation, optimal sensor guidance, and multi-resolution modeling techniques for autonomous asteroid exploration and landing.
Findings
Effective shape reconstruction using range measurements
Successful simulation on asteroid 4769 Castalia
Enhanced local shape detail with multi-resolution approach
Abstract
Construction of the precise shape of an asteroid is critical for spacecraft operations as the gravitational potential is determined by spatial mass distribution. The typical approach to shape determination requires a prolonged mapping phase of the mission over which extensive measurements are collected and transmitted for Earth-based processing. This paper presents a set of approaches to explore an unknown asteroid with onboard calculations, and to land on its surface area selected in an optimal fashion. The main motivation is to avoid the extended period of mapping or preliminary ground observations that are commonly required in spacecraft missions around asteroids. First, range measurements from the spacecraft to the surface are used to incrementally correct an initial shape estimate according to the Bayesian framework. Then, an optimal guidance scheme is proposed to control the…
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