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Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization in Harsh Urban Environments
We extend our prior work to propose Mosaic Zonotope Shadow Matching (MZSM) that employs a classifier-agnostic polytope mosaic architecture to provide risk-awareness and certifiable guarantees on urban positioning.
Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness
Therefore, the training data domain should include spacecraft trajectories to accurately evaluate the learned model's safety and robustness.
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