Publications
Demonstrating a Scenario-Based Safety Assurance Framework in Practice
Scenario-Based Testing of Automated Driving Functions Using Sampling and Iterative Optimization in a Modular Framework
AI Safety Assurance in Electric Vehicles: A Case Study on AI-Driven SOC Estimation
Implementing a dissimilarity metric for scenarios categorization and selection for automated driving systems
Formalizing Operational Design Domains with the Pkl Language
Improving the Jamming Resilience of a Cooperative Adaptive Cruise Controller
Scenario Metrics for the Safety Assurance Framework of Automated Vehicles: Review and Application
Synthetic Dataset Generation Using Logical Scenario Files for Automotive Perception
WayWiseR: A Rapid Prototyping Platform for Validating Connected and Automated Vehicles
Virtual Verification and Validation of Autonomous Vehicles: Toolchain and Workflow
Methodology for Test Case Allocation based on a Formalized ODD
Vehicle-to-Vehicle Negotiation via Manoeuvre Coordination Messages for Cooperative Cut-In Scenarios
Integration and Proving Ground Evaluation of a Connected Highway Pilot System
Bootstrapped Neural Models for Predicting Self-Driving Vehicle Collisions With Quantified Confidence: Offline and Online Applications
Accidents in ADScene: a specific survey on AD L2+ functions
Scenario-based assesment of automated driving systems: How (not) to parameretize scenarios?
Coverage Metrics for a Scenario Database for the Scenario-Based Assesment of Automated Driving Systems
Test and validation of perception-based ADAS: modern solutions to traditional challenges
Workspace Envelope Manipulation for Stewart Platform Simulators with Redundant Degrees of Freedom
Open-Source Tool Based Framework for Automated Performance Evaluation of an AD Function
Formulating a dissimilarity metric for comparison of driving scenarios for Automated Driving Systems
WayWise: A rapid prototyping library for connected, autonomous vehicles
Bootstrapping Aggregation of Neural Models for Prediction of Intelligent Vehicle Performance with Quantified Uncertainty: Safety Assessment, Failure Analysis, and Online Speed Recommendations
Automated Vehicle Testing & Data Collection Efforts
https://doi.org/10.1007/978-3-031-34757-3