This paper presents the image processing sub-module, part of the in-car embedded system, designed by the CMM in the framework of the European PROMETHEUS project. In this project, the authors' task is to extract road information in dynamic scenes. In particular, the authors have to perform road/lane segmentation and obstacle detection in real-time. To reach this goal, the authors have studied and developed dedicated algorithms and a multi-pipeline processor especially designed for their implementation. The morphological transformations are supported by two pipeline processors built around powerful morphological ASICs: PIMM1. The road/lane segmentation algorithm runs in background on the main pipeline processor. The second pipeline processor is dedicated either to obstacle detection or to on-request processing such as indicator detection. A very important item of the morphological sub-module, the multi-access image memory board, supplies the two pipeline processors with image data. The intelligent board working under the multi-tasking VxWorks operating system configures via a VSB bus the morphological sub-module. Such a multi-pipeline processor allows very high speed image processing compatible with real-time performances.


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    Titel :

    Real-time road segmentation using a morphological multi-pipeline processor


    Beteiligte:
    Peyrard, R. (Autor:in) / Gauthier, M. (Autor:in) / Klein, J.-C. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    783203 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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