11 citations · 30 across the 9 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…
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…
Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle
Jordanka Kovaceva, Nikolce Murgovski, Balázs Kulcsár +2
This paper provides a general framework for efficiently obtaining the appropriate intervention time for collision avoidance systems to just avoid a rear-end crash. The proposed fra…