Using Drones as Reference Sensors for Neural-Networks-Based Modeling of Automotive Perception Errors**The research leading to these results is funded by the Federal Ministry for Economic Affairs and Energy within the project "VVM - Verification and Validation Methods for Automated Vehicles Level 4 and 5". The authors would like to thank the consortium for the successful cooperation. - Robert Krajewski; Michael Hoss; Adrian Meister; Fabian Thomsen; Julian Bock; Lutz Eckstein (IV, 2020)

6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment. - Maike Scholtes; Lukas Westhofen 001; Lara Ruth Turner; Katrin Lotto; Michael Schuldes; Hendrik Weber; Nicolas Wagener; Christian Neurohr; Martin Bollmann; Franziska Körtke; Johannes Hiller; Michael Hoss; et al. (IEEE Access, 2021)

A Review of Testing Object-Based Environment Perception for Safe Automated Driving. - Michael Hoss; Maike Scholtes; Lutz Eckstein (CoRR, 2021)

Checklist to Transparently Define Test Oracles for TP, FP, and FN Objects in Automated Driving. - Michael Hoss (CoRR, 2023)