A methodology on the automatic recognition of poor lane keeping

Banihan Gunay

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    Driving disorder, such as having difficulty in staying in the lane, abrupt lane changes and driving on the shoulder are typical consequences of many dangerous driving circumstances, and can be grouped under the heading of ``lateral discipline of driving''. Recognition of these situations is largely observational and spotted/examined by police at high costs. The work provides a theoretical description of an automatic detection system to recognise irregular lateral vehicle movements resulted by various forms of dangerous driving. It is based on establishing certain threshold values for normal driving (lateral) patterns and by checking given traffic instances against these criteria. The system described is thought to offer substantial time and money savings to the responsible authorities, after having applied and validated the system in practice as part of ongoing research.
    LanguageEnglish
    Pages129-149
    JournalJournal of Advanced Transportation
    Volume42
    Issue number2
    Publication statusPublished - 2008

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    A methodology on the automatic recognition of poor lane keeping. / Gunay, Banihan.

    In: Journal of Advanced Transportation, Vol. 42, No. 2, 2008, p. 129-149.

    Research output: Contribution to journalArticle

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    AB - Driving disorder, such as having difficulty in staying in the lane, abrupt lane changes and driving on the shoulder are typical consequences of many dangerous driving circumstances, and can be grouped under the heading of ``lateral discipline of driving''. Recognition of these situations is largely observational and spotted/examined by police at high costs. The work provides a theoretical description of an automatic detection system to recognise irregular lateral vehicle movements resulted by various forms of dangerous driving. It is based on establishing certain threshold values for normal driving (lateral) patterns and by checking given traffic instances against these criteria. The system described is thought to offer substantial time and money savings to the responsible authorities, after having applied and validated the system in practice as part of ongoing research.

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