This proposed project will extend the work of previous projects that have developed algorithms and software to measure traffic speed under adverse conditions using un-calibrated cameras. The present implementation uses the WSDOT CCTV cameras mounted along freeway segments and has an interface for automated camera calibration and traffic speed and speed variance measuring and recording. The calibration algorithm is implemented as an operator in a pipelined architecture using the Java Advanced Imaging package. The algorithm uses features found on the freeway, such as fog lines and lane markers, to calibrate the camera. Arterials have different features, such as turn arrows and stop bars, that can be used for calibration. This effort will develop algorithms that calibrates cameras based on common features found on arterials and will implement the algorithm as a Java operator so that it extends the capabilities of the software to arterials. The result will be a portable system that can function on both freeways and arterials with only limited infrastructure investment. The utility of this project is to leverage existing software to make traffic parameter measurements on arterials where there are no loops, and to calibrate traffic measurement and management devices using these measurements.


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    Titel :

    Self Calibrating Monocular Camera Measurement of Traffic Parameters


    Beteiligte:
    D. Dailey (Autor:in)

    Erscheinungsdatum :

    2009


    Format / Umfang :

    28 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch






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