In this paper a well defined case of autonomous car driving in a typical traffic jam condition is addressed. Such a situation has been faced looking at the relation between the rate of change of the area projected on the image plane by a moving object and its time-to-crash. A visual sensor has been developed which is able to detect expansions or contractions of the area shape, without any explicit computation of the optical flow field. This sensor provides the visual input of an opto-motor reflex, working in real-time (12.5 Hz), which is able to keep constant in time the distnace between the camera and a frontal obstacle. The whole methodology has been extensively tested by using a mobile platform. The performances of the reflex on real image sequences will be shown.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A real-time visual reflex for autonomous navigation


    Weitere Titelangaben:

    Echtzeit Sichtreflexe für autonome Navigation


    Beteiligte:
    Romano, M. (Autor:in) / Ancona, N. (Autor:in)


    Erscheinungsdatum :

    1993


    Format / Umfang :

    6 Seiten, 8 Bilder, 13 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    A Real-time Visual Reflex for Autonomous Navigation

    Romano, M. / Ancona, N. / IEEE | British Library Conference Proceedings | 1993


    Real-time lane detection for autonomous navigation

    Seung Gweon Jeong, / Chang Sup Kim, / Kang Sup Yoon, et al. | IEEE | 2001


    Real-Time Lane Detection for Autonomous Navigation

    Jeong, S. G. / Kim, C. S. / Yoon, K. S. et al. | British Library Conference Proceedings | 2001


    AUTONOMOUS NAVIGATION USING VISUAL ODOMETRY

    LIAO MIAO / LI MING / HONG SOONHAC | Europäisches Patentamt | 2017

    Freier Zugriff