Comparison of traditional and proposed accident anticipation models. (IMAGE)

Tsinghua University Press

Comparison of traditional and proposed accident anticipation models.

Caption

The traditional approach (top) relies on object detection, depth estimation, and optical flow processed through a Graph Convolutional Network for accident anticipation. In contrast, our proposed method (bottom) integrates domain knowledge and a Large Language Model (GPT-4o) to enhance interpretability and provide more context-aware feedback.

Credit

Communications in Transportation Research

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