61 citations · 111 across the 6 of their papers we have counts for
3 papers · 1 filter
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation
Florian Heidecker, Ahmad El-Khateeb, Maarten Bieshaar +1
The operating environment of a highly automated vehicle is subject to change, e.g., weather, illumination, or the scenario containing different objects and other participants in wh…
Sampling-based Uncertainty Estimation for an Instance Segmentation Network
Florian Heidecker, Ahmad El-Khateeb, Bernhard Sick
The examination of uncertainty in the predictions of machine learning (ML) models is receiving increasing attention. One uncertainty modeling technique used for this purpose is Mon…
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch +5
Systems and functions that rely on machine learning (ML) are the basis of highly automated driving. An essential task of such ML models is to reliably detect and interpret unusual,…