Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    The HighD Dataset: Is This Dataset Suitable for Calibration of Vehicular Traffic Models?


    Contributors:

    Conference:

    International Conference on Traffic and Granular Flow ; 13. ; 2019 ; Pamplona



    Publication date :

    2020



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    33.28 Transportvorgänge, irreversible Thermodynamik / 55.80 Verkehrswesen, Transportwesen: Allgemeines
    DDC:    530.41



    The HighD Dataset: Is This Dataset Suitable for Calibration of Vehicular Traffic Models?

    Kurtc, Valentina | British Library Conference Proceedings | 2020



    The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX

    Tenbrock, Alexander / Konig, Alexander / Keutgens, Thomas et al. | IEEE | 2021


    BENCHMARKING DEEP LEARNING FRAMEWORKS WITH FPGA-SUITABLE MODELS ON A TRAFFIC SIGN DATASET

    Lin, Zhongyi / Ota, Jeffrey M. / Owens, John D. et al. | British Library Conference Proceedings | 2018


    Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset

    Lin, Zhongyi / Ota, Jeffrey M. / Owens, John D. et al. | IEEE | 2018