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Schleiß, Philipp
Uncertainty-aware RSS
AI for Safety: How to use Explainable Machine Learning Approaches for Safety Analyses
Towards the Quantitative Verification of Deep Learning for Safe Perception
Dynamic Risk Management for Safely Automating Connected Driving Maneuvers
SafeSens - Uncertainty Quantification of Complex Perception Systems
On Perceptual Uncertainty in Autonomous Driving under Consideration of Contextual Awareness
Towards Continuous Safety Assurance for Autonomous Systems
Toward Safe Human Machine Interface and Computer-Aided Diagnostic Systems
Safety Assessment: From Black-Box to White-Box
Safety Assurance of Machine Learning for Chassis Control Functions