1–6 von 6 Ergebnissen
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    Nighttime vehicle detection for intelligent headlight control

    Lopez, Antonio / Hilgenstock, Jörg / Busse, Andreas et al. | Tema Archiv | 2008
    A good visibility of the road ahead is a major issue for safe nighttime driving. However, high beams are sparsely used because drivers are ...
    Schlagwörter: Computer-Vision

    A real-time vision system for traffic signs recognition invariant to translation, rotation and scale

    Cyganek, Boguslaw | Tema Archiv | 2008
    In this paper a system is presented for real time recognition of the traffic signs. Sign detection is done by a method of adaptively ...
    Schlagwörter: Computer-Vision

    Pedestrian detection and tracking based on far infrared visual information

    Olmeda, Daniel / Hilario, Cristina / Escalera, Arturo de la et al. | Tema Archiv | 2008
    This article discusses a pedestrian detector for an experimental vehicle, based on visual information from a single far infrared camera ...
    Schlagwörter: Computer-Vision

    An approach to the recognition of informational traffic signs based on 2-D homography and SVMs

    Vazquez-Reina, A. / Lopez-Sastre, R.J. / Siegmann, P. et al. | Tema Archiv | 2006
    A fast method for the recognition and classification of informational traffic signs is presented in this paper. The aim is to provide an ...

    Adaptative road lanes detection and classification

    Collado, Juan M. / Hilario, Cristina / Escalera, Arturo de la et al. | Tema Archiv | 2006
    This paper presents a Road Detection and Classification algorithm for Driver Assistance Systems (DAS), which tracks several road lanes and ...

    Affine epipolar direction from two views of a planar contour

    Freier Zugriff
    Alberich-Carramiñana, Maria / Alenyà, Guillem / Andrade-Cetto, Juan et al. | BASE | 2006
    International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS) 2006, Antwerp (Belgium) ; Most approaches to camera ...
    Schlagwörter: Pattern recognition: Computer vision , Computer vision