The SLAM Confidence Trap
arXiv:2602.15884 · doi:10.1109/ICAR65334.2025.11338690
Abstract
The SLAM community has fallen into a "Confidence Trap" by prioritizing benchmark scores over principled uncertainty estimation. This yields systems that are geometrically accurate but probabilitistically inconsistent and brittle. We advocate for a paradigm shift where the consistent, real-time computation of uncertainty becomes a primary metric of success.
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