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Simulation-Based Elicitation of Accuracy Requirements for the Environmental Perception of Autonomous Vehicles.

, , , , and . ISoLA, volume 13036 of Lecture Notes in Computer Science, page 129-145. Springer, (2021)

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Simulation-Based Elicitation of Accuracy Requirements for the Environmental Perception of Autonomous Vehicles., , , , and . ISoLA, volume 13036 of Lecture Notes in Computer Science, page 129-145. Springer, (2021)Automated 3D Object Reference Generation for the Evaluation of Autonomous Vehicle Perception., , , , , and . ICSRS, page 312-321. IEEE, (2021)Application of Evolutionary Algorithms and Criticality Metrics for the Verification and Validation of Automated Driving Systems at Urban Intersections., , , and . IV, page 128-135. IEEE, (2020)Identifying Difficult Environmental Conditions with Scenario-Based Hazard and Fault Analysis., , , and . SAFECOMP (Workshops), volume 14989 of Lecture Notes in Computer Science, page 134-147. Springer, (2024)Between environmental perception and decision-making: compositional engineering of safe automated driving systems. Dortmund University, Germany, (2024)base-search.net (ftunivdortmund:oai:eldorado.tu-dortmund.de:2003/42460).Systematization and Identification of Triggering Conditions: A Preliminary Step for Efficient Testing of Autonomous Vehicles., , , and . IV, page 798-805. IEEE, (2022)Automatic Disengagement Scenario Reconstruction Based on Urban Test Drives of Automated Vehicles., , , , , and . IV, page 1-8. IEEE, (2023)Systematization of Relevant Road Users for the Evaluation of Autonomous Vehicle Perception., , , , , , and . SysCon, page 1-8. IEEE, (2022)