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Trapp, Mario
Towards Uncertainty Reduction Tactics for Behavior Adaptation
Safety Implications of Runtime Adaptation to Changing Operating Conditions
Towards Collaborative Perception in Automated Driving: Combining Vehicle and Infrastructure Perspectives
Considering Reliability of Deep Learning Function to Boost Data Suitability and Anomaly Detection
Adaptively Managing Reliability of Machine Learning Perception under Changing Operating Conditions
Preface
Wertschöpfung durch Software in Deutschland
Fuzzy Interpretation of Operational Design Domains in Autonomous Driving
Dependable and Efficient Cloud-Based Safety-Critical Applications by Example of Automated Valet Parking
SINADRA: Towards a Framework for Assurable Situation-Aware Dynamic Risk Assessment of Autonomous Vehicles