Hardware-in-the-Loop-Based Real-Time Fault Injection Framework for Dynamic Behavior Analysis of Automotive Software Systems. - Mohammad Abboush; Daniel Bamal; Christoph Knieke; Andreas Rausch 001 (Sensors, 2022)

Intelligent Fault Detection and Classification Based on Hybrid Deep Learning Methods for Hardware-in-the-Loop Test of Automotive Software Systems. - Mohammad Abboush; Daniel Bamal; Christoph Knieke; Andreas Rausch 001 (Sensors, 2022)

Runtime Safety Assurance of Autonomous Vehicles used for Last-mile Delivery in Urban Environments. - Iqra Aslam; Adina Aniculaesei; Abhishek Buragohain; Daniel Bamal; Andreas Rausch 001 (CoRR, 2023)

Connected Dependability Cage Approach for Safe Automated Driving. - Adina Aniculaesei; Iqra Aslam; Daniel Bamal; Felix Helsch; Andreas Vorwald; Meng Zhang; Andreas Rausch 001 (CoRR, 2023)

A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System. - Iqra Aslam; Abhishek Buragohain; Daniel Bamal; Adina Aniculaesei; Meng Zhang; Andreas Rausch 001 (CoRR, 2024)