AI RESEARCH
CredibleDFGO: Differentiable Factor Graph Optimization with Credibility Supervision
arXiv CS.LG
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ArXi:2605.06100v1 Announce Type: cross Global navigation satellite system (GNSS) positioning is widely used for urban navigation, but the covariance reported by the GNSS solver is often unreliable in urban canyons. Existing differentiable factor graph optimization (DFGO) methods already learn measurement weighting through the solver, but they still use position-only objectives. As a result, the mean estimate may improve while the reported covariance remains too small, too large, or wrong in shape.