Modeling pedestrian-vehicle interaction risk based on risk perception of experienced drivers in autonomous vehicles.
OBJECTIVE Reliably determining collision risk in pedestrian-vehicle interactions remains a critical challenge for autonomous vehicles (AVs). Experienced human drivers are able to quickly evaluate the overall trend of a scene and predict potential risks based on their experience. In contrast, existing risk assessment mo...