  Vulnerable road users are overrepresented in the worldwide number of
road-traffic injury victims. Developing biofidelic male and female pedestrian
HBMs representing a range of anthropometries is imperative to follow through
with the efforts to increase road safety and propose intervention strategies.
In this study, a 50th percentile male and female pedestrian of the SAFER HBM
was developed via a newly developed image registration-based mesh morphing
framework for subject personalization. The HBM and its accompanied
personalization framework were evaluated by means of a set of cadaver
experiments, where subjects were struck laterally by a generic sedan buck. In
the simulated whole-body pedestrian collisions, the personalized HBMs
demonstrate a good capability of reproducing the trajectories and head
kinematics observed in lateral impacts. The presented pedestrian HBMs and
personalization framework provide robust means to thoroughly and accurately
reconstruct and evaluate pedestrian-to-vehicle collisions.
