In order to navigate, vehicles need to deduce their movements in given environments. The authors describe a method for wide-angle motion stereo to aid such navigations. The approach uses vertices of objects observed in a scene as features to be matched in the two images. The matching is done in the 3-D world with the guidance of a base line which can be seen in both images. The candidate vertices for matching are obtained from analyzing (1) the edge maps of input images using a junction type table; and (2) the range information of the segments which form the vertices. Range information is obtained by inverse perspective transformation. Some experimental results are shown.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Motion stereo for navigation of autonomous vehicles in man-made environments


    Weitere Titelangaben:

    Bewegungsstereoskopie zur Navigation selbstaendiger Fahrzeuge in vom Menschen erstellter Umgebung


    Beteiligte:
    Tsukiyama, T. (Autor:in) / Huang, T.S. (Autor:in)

    Erschienen in:

    Pattern Recognition ; 20 , 1 ; 105-113


    Erscheinungsdatum :

    1987


    Format / Umfang :

    9 Seiten, 8 Quellen



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Stereo vision based object detection for autonomous navigation in space environments

    Duba, Prasanth Kumar / Mannam, Naga Praveen Babu / P, Rajalakshmi | Elsevier | 2024


    A stereo camera system for autonomous maritime navigation (AMN) vehicles [7332-38]

    Zhang, W. / Zhuang, P. / Elkins, L. et al. | British Library Conference Proceedings | 2009




    Navigation of Autonomous Vehicles in Unknown Environments Using Reinforcement Learning

    Martynez-Maryn, T. / Rodryguez, R. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2007