Author

C. Ostafew

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Preprint Aug 2026

PseudoMapLabeler: Confidence-Aware Pseudo-Label Generation for Semi-Supervised Online Mapping

This work proposes a teacher-student semi-supervised learning framework that generates high-quality pseudo-labels from unlabeled data through confidence-aware map refinement, and introduces a spatial clipping technique that selectively preserves high-confidence regions while removing unreliable segments.

Chikao Tsuchiya, Dhaval Bhanderi, David Ilstrup et al. · 0 citations