70 citations · 72 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Checklist to Define the Identification of TP, FP, and FN Object Detections in Automated Driving
Michael Hoss
The object perception of automated driving systems must pass quality and robustness tests before a safe deployment. Such tests typically identify true positive (TP), false-positive…
cs.RO2021★ 70 cited
A Review of Testing Object-Based Environment Perception for Safe Automated Driving
Michael Hoss, Maike Scholtes, Lutz Eckstein
Safety assurance of automated driving systems must consider uncertain environment perception. This paper reviews literature addressing how perception testing is realized as part of…
cs.OH2020★ 1 cited
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment
Maike Scholtes, Lukas Westhofen, Lara Ruth Turner +11
Verification and validation of automated driving functions impose large challenges. Currently, scenario-based approaches are investigated in research and industry, aiming at a redu…