11 citations · 30 across the 9 of their papers we have counts for
3 papers · 1 filter
Model-based generation of representative rear-end crash scenarios across the full severity range using pre-crash data
Jian Wu, Carol Flannagan, Ulrich Sander +1
Generating representative rear-end crash scenarios is crucial for safety assessments of Advanced Driver Assistance Systems (ADAS) and Automated Driving systems (ADS). However, exis…
Validation of human benchmark models for Automated Driving System approval: How competent and careful are they really?
Pierluigi Olleja, Gustav Markkula, Jonas Bärgman
Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) are expected to improve comfort, productivity and, most importantly, safety for all road users. To ens…
Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman +1
Due to the technical complexity and social impact, automated vehicle (AV) development challenges the current state of automotive engineering practice. Research shows that it is imp…