Some of the critical features of Advanced Driver Assistance Systems (ADAS), including unintentional lane departure warning, and erratic driving warning have significant potential to reduce crashes. Generally, these systems use either various image processing techniques or Global Positioning System (GPS) technology with lane-level resolution maps. However, these are expensive to implement as well as have some limitations, such as harsh weather or irregular lane markings can drastically reduce their performance. Previously, we proposed a lane departure detection system where we generated road reference heading (RRH) form a vehicle’s past trajectories acquired by GPS to detect unintentional lane departure with high accuracy. Now, we propose a technique to detect erratic driving behavior of a vehicle so that the system can issue timely warnings to alert the driver. We have considered two most common erratic driving scenarios; inter lane change and intra lane change erratic driving. We have developed an algorithm to detect both of these erratic behaviors and implemented the algorithm in a prototype system. We have extensively tested the algorithm in the field for a variety of erratic driving scenarios in real-time. Our field test results show that each time an erratic driving scenario occurs; our algorithm correctly detects it and issues a warning to alert the driver.


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    Titel :

    An In-Vehicle Erratic Driving Detection and Warning System Using GPS Technology


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Arai, Kohei (Herausgeber:in) / Hossain, Md Touhid (Autor:in) / Chowdhury, Shahnewaz (Autor:in) / Hayee, M. I. (Autor:in)

    Kongress:

    Proceedings of the Future Technologies Conference ; 2021 ; Vancouver, BC, Canada November 28, 2021 - November 29, 2021



    Erscheinungsdatum :

    24.10.2021


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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