To improve the accuracy of detected parameters at curves by an in-use track geometry measurement (TGM) system, a real-time railway plane alignment (RPA) discrimination method based on linear discriminant analysis of an Lp norm with sparsity constraint (LDA-Lp-SC) is proposed. A standard database to identify the radius of a track curve is established, using the relevant ledger and track TGM data. Multi-dimensional feature extraction is performed on the TGM data, and the parameters of the method are optimized to improve the accuracy of the model classification. Finally, the method is embedded in a TGM system combined with the original RPA discrimination method, so that the key parameters of RPA discrimination can be automatically switched in real time according to the classification result of the track curve radius. Compared with the original method, the method in this study greatly improves the recognition accuracy of track curve with a radius in the range of 150–20,000 m, while ensuring real-time performance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-time railway plane alignment discrimination based on linear discriminant analysis of Lp norm with sparsity constraint


    Contributors:
    Du, Xinyu (author) / Qin, Zhe (author) / Zhang, Yi (author) / Li, Ying (author) / Wang, Hao (author)


    Publication date :

    2023-08-01


    Size :

    10 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Linear discriminant projection embedding based on patches alignment

    Wang, J. / Zhang, B. / Qi, M. et al. | British Library Online Contents | 2010


    Motion Segmentation Via a Sparsity Constraint

    Lai, Taotao / Wang, Hanzi / Yan, Yan et al. | IEEE | 2017


    Motion Segmentation Via a Sparsity Constraint

    Lai, Taotao | Online Contents | 2017


    Motion Segmentation Via a Sparsity Constraint

    Lai, Taotao | Online Contents | 2016


    Probabilistic Linear Discriminant Analysis

    Ioffe, S. | British Library Conference Proceedings | 2006