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20242026
most citedTowards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection

1 citations · 1 across the 7 of their papers we have counts for

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cs.RO2024

Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features

Romeo Valentin, Sydney M. Katz, Joonghyun Lee +3

This paper addresses the challenge of probabilistic parameter estimation given measurement uncertainty in real-time. We provide a general formulation and apply this to pose estimat…

cs.LG2024★ 1 cited

Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection

Romeo Valentin

Although an ever-growing number of applications employ deep learning based systems for prediction, decision-making, or state estimation, almost no certification processes have been…