9 citations · 9 across the 4 of their papers we have counts for
4 papers · 1 filter
Practical validation of synthetic pre-crash scenarios
Jian Wu, Ulrich Sander, Carol Flannagan +1
The representativeness of synthetic pre-crash scenarios is crucial for assessing the safety impact of Driving Automation Systems through virtual simulations. However, a gap remains…
Practical Equivalence Testing and Its Application in Synthetic Pre-Crash Scenario Validation
Jian Wu, Ulrich Sander, Carol Flannagan +2
The use of representative pre-crash scenarios is critical for assessing the safety impact of driving automation systems through simulation. However, a gap remains in the robust eva…
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…
Modeling Lead-vehicle Kinematics For Rear-end Crash Scenario Generation
Jian Wu, Carol Flannagan, Ulrich Sander +1
The use of virtual safety assessment as the primary method for evaluating vehicle safety technologies has emphasized the importance of crash scenario generation. One of the most co…