Correcting Learning-based Perception for Safety
A two-step strategy for correcting ML-based state estimation, where an offline computation is used to characterize the uncertainties resulting from the ML module's state estimation, using preimages of perception contracts at runtime, using a risk heuristic.
Yan Miao, Hussein Darir, Sayan Mitra
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