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What is Critical Pedestrian Scenarios for AV Testing about?

This paper presents a framework for generating critical pedestrian testing scenarios for autonomous vehicles (AV) by utilizing microscopic traffic data from 12 intersections in China. It focuses on creating a scenario library that captures high-risk vehicle-pedestrian interactions and employs a three-stage emergency braking model alongside an artificial potential field method to assess real-time risks. The generated scenarios aim to enhance pedestrian safety testing for AVs, addressing the need for comprehe

Author

謝旻翰

Language

EN