Beyond Gaussian Assumptions: Toward Trustworthy Navigation in Autonomous Systems
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Examined how navigation methods can move beyond idealized Gaussian error assumptions to support trustworthy autonomous systems.
The presentation connected non-Gaussian error modeling with the broader challenge of building navigation systems whose uncertainty and integrity remain dependable in realistic operating conditions.