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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    LRF-Based Road Terrain Classification


    Contributors:


    Publication date :

    2019-01-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    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