Options
Schleiß, Philipp
SafeSens - Uncertainty Quantification of Complex Perception Systems
Safety Assessment: From Black-Box to White-Box
Safety Assurance of Machine Learning for Chassis Control Functions
Systematische Analyse von Einflussfaktoren auf die Sensorik bei der Umfelderkennung zur Bestimmung kritischer Situationen
AI for Safety: How to use Explainable Machine Learning Approaches for Safety Analyses
Towards the Quantitative Verification of Deep Learning for Safe Perception
Methoden zur Absicherung von KI-basierten Perzeptionsarchitekturen in autonomen Systemen
On Perceptual Uncertainty in Autonomous Driving under Consideration of Contextual Awareness
Towards Continuous Safety Assurance for Autonomous Systems
A Systematic Approach to Analyzing Perception Architectures in Autonomous Vehicles