Unsafe driving has evolved into a public safety crisis. More than half of fatal crashes are due to distracted and aggressive driving. Modern cars have systems to monitor and notify drivers when erratic driving is detected. However, such systems do not help when other nearby vehicles drive unsafely. In this paper, we focus on this use case. We propose a nearby erratic driving detection method in which the ego vehicle observes its surroundings and identifies anomalous driving. We develop and test the proposed method through simulation. Then, we check the feasibility of the proposed method in field trials with multiple test vehicles. Evaluation results show that the proposed method can detect erratic driving on average 4 seconds before the risk of collision becomes maximum with 70% accuracy.


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    Titel :

    Nearby Unsafe Driving Detection


    Beteiligte:


    Erscheinungsdatum :

    04.06.2023


    Format / Umfang :

    15168444 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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