Traffic signs along the roadways are used to convey important information about the road and the environment to drivers, pedestrians, and possibly many Intelligent Transportation System (ITS) applications. A map of traffic signs provides a priori information to ITS applications, allowing the information to be used in a wide variety of detection, positioning, and vehicle control applications. In this research, a probe vehicle with onboard sensors is utilized to survey traffic signs along the roadways of a test site. A sensor platform equipped with GPS/IMU, 3D LIDAR, and a vision sensor is employed in a traffic sign detection, state estimation, and identification framework to map the state of traffic signs and to identify them from a list of known traffic sign templates. Data collected from the test site is used to test the proposed framework. The mapped traffic signs are verified using the carrier-phase Differential Global Positioning System (DGPS) surveyed locations of the sign posts to show that the errors are in the centimeter to decimeter levels.


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    Title :

    Traffic sign detection, state estimation, and identification using onboard sensors


    Contributors:
    Vu, Anh (author) / Yang, Qichi (author) / Farrell, Jay A. (author) / Barth, Matthew (author)


    Publication date :

    2013-10-01


    Size :

    1014693 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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