This paper discusses a method of using disparity maps, generated from a stereo matching process, to be used for obstacle detection. The disparity map is a direct indicator of the distances the various objects have with respect to the cameras. This information can be further segmented to highlight the obstacle regions. Once the obstacle regions are highlighted, this information can be used for a path planning algorithm to generate the required control signals to direct the robot from a source position to destination position while avoiding the detected obstacles.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Disparity Maps Based Path Planning Algorithm for Autonomous Robot Navigation


    Beteiligte:
    Shetty, Akhil Appu (Autor:in) / George, V. I. (Autor:in) / Nayak, C Gurudas (Autor:in) / Shetty, Raviraj (Autor:in)


    Erscheinungsdatum :

    01.06.2019


    Format / Umfang :

    2284233 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Autonomous path planning robot

    MA WENSHENG / GUO-YA BEIFAN / ZHAN XIAODONG | Europäisches Patentamt | 2023

    Freier Zugriff

    Path planning in image space for autonomous robot navigation in unstructured environments

    Otte, M. W. / Richardson, S. G. / Mulligan, J. et al. | British Library Online Contents | 2009


    Road Segmentation Supervised by an Extended V-Disparity Algorithm for Autonomous Navigation

    Soquet, N. / Aubert, D. / Hautiere, N. et al. | British Library Conference Proceedings | 2007


    Road Segmentation Supervised by an Extended V-Disparity Algorithm for Autonomous Navigation

    Soquet, Nicolas / Aubert, Didier / Hautiere, Nicolas | IEEE | 2007


    Multi-Objective Path planning for Autonomous Sensor-Based Navigation

    Mandow, A. / Mandow, L. / Muoz, V. F. et al. | British Library Conference Proceedings | 1998