3 papers
cs.SE2025
Data Annotation Quality Problems in AI-Enabled Perception System Development
Hina Saeeda, Tommy Johansson, Mazen Mohamad +1
Data annotation is essential but highly error-prone in the development of AI-enabled perception systems (AIePS) for automated driving, and its quality directly influences model per…
cs.SE2025
RE for AI in Practice: Managing Data Annotation Requirements for AI Autonomous Driving Systems
Hina Saeeda, Mazen Mohamad, Eric Knauss +2
High-quality data annotation requirements are crucial for the development of safe and reliable AI-enabled perception systems (AIePS) in autonomous driving. Although these requireme…
cs.SE2025
Challenges of Virtual Validation and Verification for Automotive Functions
Beatriz Cabrero-Daniel, Mazen Mohamad
Verification and validation of vehicles is a complex yet critical process, particularly for ensuring safety and coverage through simulations. However, achieving realistic and usefu…