Abstract The utilization of an accelerometer is supposed to estimate the road profile from which the spatial features are extracted. However, the estimated road profile only represents the curvature of the terrain on the vehicle’s moving orientation. Here, it is proposed to employ the LRF sensor to represent the road surface which would contain substantial information. Moreover, because it works with higher scanning speed, this classification method is expected to be minimally affected by the change of the vehicle’s speed.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    LRF-Based Road Terrain Classification


    Beteiligte:


    Erscheinungsdatum :

    01.01.2019


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Acceleration-Based Road Terrain Classification

    Wang, Shifeng | Springer Verlag | 2019


    Image-Based Road Terrain Classification

    Prof. Wang, Shifeng | Springer Verlag | 2019


    Multiple-Sensor Based Road Terrain Classification

    Prof. Wang, Shifeng | Springer Verlag | 2019


    Colour Based Off-Road Environment and Terrain Type Classification

    Jansen, P. / van der Mark, W. / van den Heuvel, J. et al. | British Library Conference Proceedings | 2005