Road Interpretation for Driver Assistance Based on an Early Cognitive Vision System

Emre Baseski, Lars Baunegaard With Jensen, Nicolas Pugeault, Florian Pilz, Karl Pauwels, Marc M. van Hulle, Florentin Wörgötter, Norbert Krüger

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    5 Citations (Scopus)

    Abstract

    In this work, we address the problem of road interpretation for driver assistance based on an early cognitive
    vision system. The structure of a road and the relevant traffic are interpreted in terms of ego-motion estimation
    of the car, independently moving objects on the road, lane markers and large scale maps of the road. We make
    use of temporal and spatial disambiguation mechanisms to increase the reliability of visually extracted 2D and
    3D information. This information is then used to interpret the layout of the road by using lane markers that are
    detected via Bayesian reasoning. We also estimate the ego-motion of the car which is used to create large scale
    maps of the road and also to detect independently moving objects. Sample results for the presented algorithms
    are shown on a stereo image sequence, that has been collected from a structured road.
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Computer Vision Theory and Applications (VISAPP'09)
    Volume2
    PublisherInstitute for Systems and Technologies of Information, Control and Communication
    Publication date2009
    Pages496-505
    ISBN (Print)978-989-8111-69-2
    Publication statusPublished - 2009
    EventInternational Conference on Computer Vision Theory and Applications - Lissabon, Portugal
    Duration: 3 Feb 20096 Feb 2009

    Conference

    ConferenceInternational Conference on Computer Vision Theory and Applications
    Country/TerritoryPortugal
    CityLissabon
    Period03/02/200906/02/2009

    Keywords

    • large scale maps
    • lane detection
    • independently moving objects

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