Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB

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  • Publication
    A Short Note on Analyzing Sequence Complexity in Trajectory Prediction Benchmarks
    ( 2020)
    Hug, Ronny
    ;
    Becker, Stefan
    ;
    Hübner, Wolfgang
    ;
    Arens, Michael
    The analysis and quantification of sequence complexity is an open problem frequently encountered when defining trajectory prediction benchmarks. In order to enable a more informative assembly of a data basis, an approach for determining a dataset representation in terms of a small set of distinguishable prototypical sub-sequences is proposed. The approach employs a sequence alignment followed by a learning vector quantization (LVQ) stage. A first proof of concept on synthetically generated and real-world datasets shows the viability of the approach.