The specific detection and classification of vulnerable road users in the closer vehicle environment is the foundation for safe autonomous driving of the future. In addition, the capability of predictive intention recognition is of fundamental interest in achieving the goal of “Vision Zero”. High-resolution radars in the short-range enable the detection of cyclist-identifying micro-Doppler distributions. This paper presents a method for the extraction of micro-range-Doppler pedaling motions of cyclists in highly relevant movement scenarios. An adaptive ellipse fitting algorithm separates the high-resolution micro-Doppler components of the wheels from the pedaling motions and enables their robust extraction for the potential use of anticipatory safety functions. The proposed procedure is applied to real radar measurements of a cyclist. The results show that the time-dependent motion behavior of the pedals and contributing parts of the legs can be obtained from the radar data.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Micro-Doppler Extraction of Bicycle Pedaling Movements Using Automotive Radar




    Publication date :

    2019-06-01


    Size :

    883132 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    MICRO-DOPPLER EXTRACTION OF BICYCLE PEDALING MOVEMENTS USING AUTOMOTIVE RADAR

    Held, Patrick / Steinhauser, Dagmar / Kamann, Alexander et al. | British Library Conference Proceedings | 2019


    BICYCLE PEDALING FREQUENCY SENSOR

    LIU KENNETH | European Patent Office | 2019

    Free access

    BICYCLE PEDALING FORCE DETECTOR

    TETSUKA TOSHIO / YOSHIDA FUMIAKI / MORI SHINTAROU | European Patent Office | 2016

    Free access

    Bicycle pedaling frequency sensor

    LIU KENNETH | European Patent Office | 2018

    Free access

    PEDALING DEVICE FOR BICYCLE

    PARK SUN JUNG | European Patent Office | 2021

    Free access