Situational awareness is essential for safe driving, yet human drivers are often limited by their perceptual and cognitive capacities, leading to significant road accidents. Autonomous vehicles promise to eliminate humans from driving responsibility and ensure safer travel. Effective testing of autonomous vehicles, especially through scenario-based testing, is critical to their development. Accident scenarios are of particular importance in different phases of scenario-based testing. In this paper, we propose an accident scenario generation method for scenario-based testing using a human driver behavior model, CogMod, that explicitly models human perceptual and cognitive limitations. Through experimentation, we investigate the effects of perceptual and cognitive limitations on accident causation and demonstrate how this can be used in generating diverse accident scenarios.


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    Title :

    Accident Scenario Generation using Driver Behavior Model


    Contributors:


    Publication date :

    2024-09-24


    Size :

    1417266 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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