6 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.RO2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Axel Brunnbauer, Luigi Berducci, Peter Priller +2
The automated generation of diverse and complex training scenarios has been an important ingredient in many complex learning tasks. Especially in real-world application domains, su…
cs.CR2021★ 6 cited
A Model-Driven Methodology for Automotive Cybersecurity Test Case Generation
Stefan Marksteiner, Peter Priller
Through international regulations (most prominently the latest UNECE regulation) and standards, the already widely perceived higher need for cybersecurity in automotive systems has…
cs.AI2021★ 4 cited
Challenges of engineering safe and secure highly automated vehicles
Nadja Marko, Eike Möhlmann, Dejan Ničković +3
After more than a decade of intense focus on automated vehicles, we are still facing huge challenges for the vision of fully autonomous driving to become a reality. The same "disil…