Research on Automatic Driving Hazard Cutting Scene Based on Real Driving Data

With the continuous development of autonomous driving technology, it has become increasingly important to study the response capabilities of autonomous driving systems in dangerous scenarios. As a typical scene in autonomous driving, the cut-in scenario requires in-depth research based on real driving data. Based on the cut-in scenario of natural driving data, this paper extracts key parameters through the cut-in scenario algorithm, generalizes the extracted parameters, and uses Carmaker automatic driving simulation software to determine the safety boundary of the dangerous cut-in scenario, in order to provide reference for the in-depth research in this field.